Skip to main content

Advertisement

SpringerLink
Log in

Different Energy Saving Schemes in Wireless Sensor Networks: A Survey

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Wireless sensor networks (WSNs) are one of the very active research area. They have many applications like military, health care, environmental monitoring and industrial monitoring. The sensor nodes have limited energy source. Since in many cases the nodes are deployed in unreachable areas, hence recharging or replacing the battery of the sensor nodes is not an option. Therefore, one must employ techniques to conserve the energy by reducing the energy consumption by the nodes. In this paper, we discuss about the different energy saving schemes investigated by different research community in WSNs to reduce the energy consumption of the nodes and thereby improving the lifetime of the overall network. Energy saving protocols such as duty cycle, energy efficient routing, energy efficient medium access control (MAC), data aggregation, cross layer design and error control code (ECC) are discussed. Sleep/wake up method is adopted by the duty cycle approach to reduce the active time of the nodes and conserve their energy. The routing and MAC protocols use suitable energy efficient algorithms for saving energy. The data aggregation aims to save energy by reducing the number of transmissions. On the other side, cross layer approach looks for a cross layer optimization solution to improve the energy efficiency of the network. ECC reduces energy consumption by virtue of coding gain it offers which allows lower signal-to-noise ratio (SNR) to achieve the same bit error rate (BER) as an uncoded system. Some techniques such as use of directional antennas, topology control and transmission power control which have been widely investigated for other ad-hoc networks for energy conservation are also discussed in brief in this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Zhang, H., & Hou, J. (2004). On deriving the upper bound of α-lifetime for large sensor networks. In The proceedings of ACM international symposium on mobile ad hoc networking and computing (MobiHoc 2004) (pp. 121–132). Roppongi, Japan, 24–26 May 2004.

  2. Chen, Y., & Zhao, Q. (2005). On the lifetime of wireless sensor networks. IEEE Communication Letters, 9(11), 976–978.

    Google Scholar 

  3. Dong, Q. (2005). Maximizing system lifetime wireless sensor networks. In The proceedings of 4th international symposium on information processing in sensor networks (IPSN 2005) (pp. 13–19), Los Angeles, California, USA: UCLA, 25–27 April 2005.

  4. Jin, Y., & Jiang, Y. (2006). Design of maximizing clustered sensor network lifetime. In First international conference on innovative computing, information and control—volume 1 (ICICIC’06). Beijing, China, 30 August–1 September 2006.

  5. Xue, Q., & Ganz, A. (2006). On the lifetime of large scale sensor networks. Computer Communications (Elsevier), 29(4), 502–510.

    Google Scholar 

  6. Tsai, Y.-R., Yang, K.-J., & Yeh, S.-Y. (2008). Non-uniform node deployment for lifetime extension in large scale randomly distributed wireless sensor networks. In 22nd International conference on advanced information networking and applications (AINA 2008), Okinawa, Japan, 25–28 March 2008.

  7. Song, C., Liu, M., Cao, J., Zheng, Y., Gong, H., & Chen, G. (2009). Maximizing network lifetime based on transmission range adjustment in wireless sensor networks. Computer Communications (Elsevier), 32(11), 1316–1325.

    Google Scholar 

  8. Dietrich, I., & Dressler, F. (2009). On the lifetime of wireless sensor networks. ACM Transactions on Sensor Networks, 5(1), 1–39.

    Google Scholar 

  9. Min, X., Wei-ren, S., Chang-Jiang, J., & Ying, Z. (2010). Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks. AEU-International Journal of Electronics and Communications (Elsevier), 64(4), 289–298.

    Google Scholar 

  10. Halder, S., Ghosal, A., & Das Bit, S. (2011). A pre-determined node deployment strategy to prolong network lifetime in wireless sensor network. Computer Communications (Elsevier), 34(11), 1294–1306.

    Google Scholar 

  11. Abdulla, A. E. A. A., Nishiyama, H., & Kato, N. (2012). Extending the lifetime of wireless sensor networks: A hybrid routing algorithm. Computer Communications (Elsevier), 35(9), 1056–1063.

    Google Scholar 

  12. Kacimi, R., Dhaou, R., & Beylot, A.-L. (2013). Load balancing technique for lifetime maximizing in wireless sensor networks. Ad Hoc Networks (Elsevier), 11(8), 2172–2186.

    Google Scholar 

  13. Sharmila, D., Sujitha, R., & Rajkumar, G. (2013). On improving the lifetime of wireless sensor networks using virtual scheduling backbone replacement. In International conference on information and communication and information technologies (ICT 2013), Thuckalay, Tamil Nadu, India, 11–12 April 2013.

  14. Bakr, B. A., & Lilien, L. T. (2014). Extending lifetime of wireless sensor networks by management of spare nodes. Procedia Computer Science (Elsevier), 34, 493–498.

    Google Scholar 

  15. Keskin, M. E., Altitnel, I. K., Aras, N., & Ersoy, C. (2014). Wireless sensor network lifetime maximization by optimal sensor deployment, activity scheduling, data routing and sink mobility. Ad Hoc Networks (Elsevier), 17, 18–36.

    Google Scholar 

  16. Kandpal, R., & Singh, R. (2016). Improving lifetime of wireless sensor networks by mitigating correlated data using LEACH protocol. In 1st International conference on information processing (IICIP), Delhi, India, 12–14 August 2016.

  17. Hassan, M. Z., Al-Rizzo, H., & Gunay, M. (2017). Lifetime maximization by partioning approach in wireless sensor networks. EURASHIP Journal on Wireless Communications and Networking, 2017(15), 1–18.

    Google Scholar 

  18. Bhardwaj, M., Garnett, T., & Chandrakasan, A. P. (2001). Upper bounds on the lifetime of sensor networks. In Proceedings of the international conference on communications (ICC’01), vol. 3 (pp. 785–790). Helsinki, Finland, 11–14 June 2001.

  19. Shelby, Z., Pomalazo-Ráez, C., Karvonen, H., & Haapola, J. (2005). Energy optimization in multihop wireless embedded and sensor networks. International Journal of Wireless Information Networks (Springer), 12(1), 11–21.

    Google Scholar 

  20. Gao, Q., Blow, K. J., Holding, D. J., Marshall, I. W., & Peng, X. H. (2006). Radio range adjustment for energy efficient wireless sensor networks. Ad Hoc Networks (Elsevier), 4(1), 75–82.

    Google Scholar 

  21. Hossain, A., Radhika, T., Chakrabarti, S., & Biswas, P. K. (2008). An approach to increase the lifetime of a linear array of wireless sensor nodes. International Journal of Wireless Information Networks (Springer), 15(2), 72–81.

    Google Scholar 

  22. Hossain, A. (2017). Equal energy dissipation in wireless sensor network. AEU: International Journal of Electronics and Communications (Elsevier), 71, 192–196.

    Google Scholar 

  23. Kacimi, R., Dhaou, R., & Beylot, A.-L. (2010). Load-balancing strategies for lifetime maximizing in wireless sensor networks. In IEEE international conference on communication (ICC’10), Cape Town, South Africa, 23–27 May 2010.

  24. Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., & Wang, Z. M. (2008). Controlled sink mobility for prolonging wireless sensor network lifetime. Wireless Networks (Springer), 14(6), 831–858.

    Google Scholar 

  25. Gatzianas, M., & Georgiadis, L. (2008). A distributed algorithm for maximum lifetime routing in sensor networks with mobile sink. IEEE Transactions on Wireless Communications, 7(3), 984–994.

    Google Scholar 

  26. Marta, M., & Cardei, M. (2009). Improved sensor network lifetime with multiple mobile sinks. Pervasive and Mobile Computing (Elsevier), 5(5), 542–545.

    Google Scholar 

  27. Yun, Y o u n g Sang, & Xia, Ye. (2010). Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications. IEEE Transactions on Mobile Computing, 9(9), 1308–1318.

    Google Scholar 

  28. Yun, Y. S., Xia, Y., Behdani, B., & Smith, J. C. (2013). Distributed algorithm for lifetime maximization in a delay-tolerant wireless sensor network with a mobile sink. IEEE Transactions on Mobile Computing, 12(10), 1920–1930.

    Google Scholar 

  29. Wang, W., Srinivasan, V., & Chua, K.-C. (2005) Using mobile relays to prolong the lifetime of wireless sensor networks. In Proceeding of 11th international conference on mobile computing and networking (MobiCom’05) (pp. 270–283). Cologne, Germany, 28 August–2 September 2005.

  30. Wang, W., Srinivasan, V., & Chua, K.-C. (2008). Extending the lifetime of wireless sensor networks through mobile relays. IEEE/ACM Transactions on Networking, 16(5), 1108–1120.

    Google Scholar 

  31. El-Moukaddem, F., Torng, E., & Xing, G. (2013). Mobile relay configuration in data-intensive wireless sensor networks. IEEE Transactions on Mobile Computing, 12(2), 261–273.

    Google Scholar 

  32. Huaang, F.-N., Chen, T.-Y., Chen, S.-H., Wei, H.-W., Hsu, T.-S., & Shih, W.-K. (2016). Share energy: Configuring mobile relays to extend sensor networks lifetime based on residual power. In International conference on collaboration technologies and systems (CTS), Orlando, FL, USA, 31 October–4 November 2016.

  33. Banerjee, T., & Agarwal, D. P. (2008). Increasing lifetime of wireless sensor networks using controllable mobile cluster heads. In IEEE international performance, computing and communications conference, Austin, Texas, USA, 7–9 December 2008.

  34. Banerjee, T., Xie, B., Jun, J. H., & Agarwal, D. P. (2010). Increasing lifetime of wireless sensor networks using controllable mobile cluster heads. Wireless Communications and Mobile Computing Journal, 10(3), 313–336.

    Google Scholar 

  35. Yang, Y., Fonoage, M. I., & Cardei, M. (2010). Improving network lifetime with mobile wireless sensor networks. Computer Communications (Elsevier), 33(4), 409–419.

    Google Scholar 

  36. Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: A survey. Ad Hoc Networks (Elsevier), 7(3), 537–568.

    Google Scholar 

  37. Soua, R., & Minet, P. (2011). A survey on energy efficient techniques in wireless sensor networks. In 4th Joint IFIP wireless and mobile networking conference (WMNC 2011), Toulouse, France, 26–28 October 2011.

  38. Raut, T., Bouabdallah, A., & Challal, Y. (2014). Energy efficiency in wireless sensor networks: A top down survey. Computer Networks (Elsevier), 67, 104–122.

    Google Scholar 

  39. Yadav, S., & Yadav, R. S. (2016). A review on energy efficient protocols in wireless sensor networks. Wireless Networks (Springer), 22(1), 335–350.

    Google Scholar 

  40. Bulut, E., & Korpeoglu, I. (2007). DSSP: A dynamic sleep scheduling protocol for prolonging the lifetime of wireless sensor networks. In 21st International conference on advanced information networking and applications workshops (AINAW’07), Niagara Falls, Ont., Canada, 21–23 May 2007.

  41. Liu, J., Gu, N., & He, S. (2008). An energy-aware coverage based node scheduling scheme for wireless sensor networks. In 9th International conference for youth computer scientists, Hunan, China, 18–21 November 2008.

  42. Ding, Y., Wang, C., & Xiao, L. (2009). An adaptive partioning scheme for sleep scheduling and topology control in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20(9), 1352–1365.

    Google Scholar 

  43. Pantazis, N. A., Vergados, D. J., Vergados, D. D., & Douligeris, C. (2009). Energy efficiency in wireless networks using sleep mode TDMA scheduling. Ad Hoc Networks (Elsevier), 7(2), 322–343.

    Google Scholar 

  44. Wu, Y., Fahmy, S., & Shroff, N. B. (2010). Sleep/wake scheduling for multihop sensor networks: Non-convexity and approximation algorithm. Ad Hoc Networks (Elsevier), 8(7), 681–693.

    Google Scholar 

  45. Yardibi, T., & Karasan, E. (2010). A distributed activity scheduling algorithm for wireless sensor networks with partial coverage. Wireless Networks (Springer), 16(1), 213–225.

    Google Scholar 

  46. Cheng, C.-T., Tse, C. K., & Lau, F. C. M. (2010). An energy-aware scheduling scheme for wireless sensor networks. IEEE Transactions on Vehicular Technology, 59(7), 3427–3444.

    Google Scholar 

  47. Bulut, E., & Korpeoglu, I. (2011). Sleep scheduling with expected common coverage in wireless sensor networks. Wireless Networks (Springer), 17(1), 19–40.

    Google Scholar 

  48. Yoo, H., Shim, M., & Kim, D. (2012). Dynamic duty-cycle scheduling schemes for energy-harvesting wireless sensor networks. IEEE Communications Letters, 16(2), 202–204.

    Google Scholar 

  49. Nan, G., Shi, G., Mao, Z., & Li, M. (2012). CDSWS: Coverage guaranteed distributed sleep/wake scheduling for wireless sensor networks. EURASHIP Journal on Wireless Communications and Networking, 2012(44), 1–14. https://doi.org/10.1186/1687-1499-2012-44.

    Article  Google Scholar 

  50. Guo, P., Jiang, T., Zhang, Q., & Zhang, K. (2012). Sleep scheduling for critical event monitoring in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 23(2), 345–352.

    Google Scholar 

  51. Cheng, H., Guo, R., Shu, Z., Xiong, N., & Guo, W. (2014). Service-oriented node scheduling scheme with energy efficiency in wireless sensor networks. International Journal of Distributed Sensor Networks, 10(2), 1–12.

    Google Scholar 

  52. Rasouli, H., Kavian, Y. S., & Rashvand, H. F. (2014). ADCA: Adaptive duty cycle algorithm for energy efficient IEEE 802.15.4 beacon-enabled wireless sensor networks. IEEE Sensors Journal, 14(11), 3893–3902.

    Google Scholar 

  53. Muruganathan, S., Ma, D. C. F., Bhasin, R., & Fapojuwo, A. (2005). A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Communications Magazine, 43(3), 8–13.

    Google Scholar 

  54. Lu, Y. M., & Wong, V. W. S. (2007). An energy-efficient multipath routing protocol for wireless sensor networks. International Journal of Communication Systems (Wiley), 20(7), 747–766.

    Google Scholar 

  55. Nasser, N., & Chen, Y. (2007). SEEM: Secure and energy-efficient multipath routing protocol for wireless sensor networks. Computer Communications (Elsevier), 30(11–12), 2402–2412.

    Google Scholar 

  56. Lotf, J., Bonab, M., & Khorsandi, S. (2008). A novel cluster-based routing protocol with extending lifetime for wireless sensor networks. In Proceedings 5th IFIP international conference on wireless and optical communications networks (WOCN’08) (pp. 1–5), East Java Indonesia, Surabaya, 5–7 May 2008.

  57. Yahya, B., & Ben-Othman, J. (2009). REER: Robust and energy efficient multipath routing protocol for wireless sensor networks. In IEEE global telecommunications conference 2009, Honolulu, HI, USA, 30 November–4 December 2009.

  58. Kandris, D., Tsioumas, P., Tzes, A., Nikolakopoulous, G., & Vergados, D. D. (2009). Power conservation through efficient routing in wireless sensor networks. Sensors, 9(9), 7320–7342.

    Google Scholar 

  59. Wang, Z., Bulut, E., Szymanski, B. K. (2009). Energy efficient collision aware multipath routing for wireless sensor networks. In IEEE international conference on communications 2009 (ICCC’09), Dresden, Germany, 14–18 June 2009.

  60. Yahya, B., & Ben-Othman, J. (2010). RELAX: An energy efficient multipath routing protocol for wireless sensor networks. In IEEE international conference on communications (ICC’10), Cape Town, South Africa, 23–27 May 2010.

  61. Boulfekhar, S., & Benmohammed, M. (2013). A novel energy efficient and lifetime maximization routing protocol in wireless sensor network. Wireless Personal Communications (Springer), 72(2), 1333–1349.

    Google Scholar 

  62. Tang, L., Feng, S., Hao, J., & Zhao, X. (2015). Energy-efficient routing algorithm based on multiple criteria decision making for wireless sensor networks. Wireless Personal Communications (Springer), 80(1), 97–115.

    Google Scholar 

  63. Zhang, W., Han, G., Feng, Y., & Lloret, J. (2017). IRPL: An energy efficient routing protocol for wireless sensor networks. Journal of Systems Architecture (Elsevier), 75, 35–49.

    Google Scholar 

  64. Demirkil, I., Ersoy, C., & Alagoz, F. (2006). MAC protocols for wireless sensor networks: a survey. IEEE Communications Magazine, 44(4), 115–121.

    Google Scholar 

  65. Kredo, K., II, & Mohapatra, P. (2007). Medium access control in wireless sensor networks. Computer Networks Journal (Elsevier), 51(4), 961–994.

    MATH  Google Scholar 

  66. Chen, Y., & Zhao, Q. (2007). An integrated approach to energy-aware medium access for wireless sensor networks. IEEE Transactions on Signal Processing, 55(7), 3429–3444.

    MathSciNet  MATH  Google Scholar 

  67. Chang, Y.-C., & Sheu, J.-P. (2009). An energy conservation MAC protocol in wireless sensor networks. Wireless Personal Communications (Springer), 48(2), 261–276.

    Google Scholar 

  68. Bachir, A., Dohler, M., Watteyne, T., & Leung, K. K. (2010). MAC essentials for wireless sensor networks. IEEE Communications Surveys and Tutorials, 12(2), 222–248.

    Google Scholar 

  69. Ameen, M. A., Islam, S. M. R., & Kwak, K. (2010). Energy saving mechanisms for MAC protocols in wireless sensor networks. International Journal of Distributed Sensor Networks, 6(1), 163413. https://doi.org/10.1155/2010/163413.

    Article  Google Scholar 

  70. Anwander, M., Wagenknecht, G., Braun, T., & Dolfus, K. (2010) BEAM: A burst-aware energy-efficient adaptive MAC protocol for wireless sensor networks. In Seventh international conference on networked sensing systems (INSS), Kassel, Germany, 15–18 June 2010.

  71. Tang, L., Sun, Y., Gurewitz, O., & Johnson, D. B. (2011) PW-MAC: An energy-efficient predictive-wakeup MAC protocol for wireless sensor networks. In The proceedings of 30th IEEE international conference on computer communications (INFOCOM 2011), April 2011, pp. 1305–1313.

  72. Tang, L., Sun, Y., Gurewitz, O., Johnson, D. B. (2011). EM-MAC: a dynamic multichannel energy-efficient MAC protocol for wireless sensor networks. In Proceedings of twelfth ACM international symposium on mobile ad hoc networking and computing (MobiHoc’11), Paris, France, 17–19 May 2011.

  73. Bernard, T., & Fouchal, H. (2012) A low energy consumption MAC protocol for WSN. In Proceedings of IEEE international conference on communications (ICC’12) (pp. 533–537). Ottawa, ON, Canada, 10–15 June 2012.

  74. Dash, S., Swain, A. R., & Ajay, A. (2012). Reliable energy aware multi-token based MAC protocol for WSN. In: IEEE 26th international conference on advanced information networking and applications, Fukuoka, Japan, 26–29 March 2012.

  75. Li, Z.-T., Chen, Q., Zhu, G.-M., Choi, Y.-J., & Sekiya, H. (2015). A low latency, energy efficient MAC protocol for wireless sensor networks. International Journal of Distributed Sensor Networks, 11(8), 1–9.

    Google Scholar 

  76. Kim, S., Joh, H., Choi, S., & Ryoo, I. (2015). Energy efficient MAC scheme foe wireless sensor networks with high dimensional data aggregate. Mathematical Problems in Engineering. https://doi.org/10.1155/2015/803834.

    Article  Google Scholar 

  77. Randhawa, S., & Jain, S. (2017). Data aggregation in wireless sensor networks: previous research, current status and future directions. Wireless Personal Communications (Springer), 97(3), 3355–3425.

    Google Scholar 

  78. Anisi, M. H., Rezazadeh, J., & Dehghan, M. (2008). FEDA: Fault tolerant energy-efficient data aggregation in wireless sensor networks. In 16th international conference on software, telecommunications and computer networks, Split, Croatia, 25–27 September 2008.

  79. Park, S.-J., & Sivakumar, R. (2008). Energy efficient correlated data aggregation for wireless sensor networks. International Journal of Distributed Sensor Networks, 4(1), 13–27.

    Google Scholar 

  80. Xu, X. H., Wang, S. G., Mao, X. F., Tang, S. J., Xu, P., & Li, X.-Y. (20009) Efficient data aggregation in multi-hop WSNs. In IEEE global telecommunications conference (GLOBECOM 2009), Honolulu, Hi, USA, 30 November–4 December 2009.

  81. Li, X.-Y., Xu, X. H., Wang, S. G., Tang, S. J., Dai, G. J., Zhao, J. Z., & Qi, Y. (2009). Efficient data aggregation in multi-hop wireless sensor network under physical interference model. In IEEE 6th international conference on mobile adhoc and sensor systems, Macau, China, 12–15 October 2009.

  82. Jung, W.-S., Lim, K.-W., Ko, Y.-B., & Park, S.-J. (2011). Efficient clustering-based data aggregation techniques for wireless sensor networks. Wireless Networks (Springer), 17(5), 1387–1400.

    Google Scholar 

  83. Krishna, M. B., & Vashishta, N. (2013). Energy efficient data aggregation techniques in wireless sensor networks. In 5th International conference and computational intelligence and communication networks, Mathura, India, 27–29 September 2013.

  84. Liu, C.-X., Liu, Y., & Zhang, Z.-J. (2013). Improved reliable and trust-based and energy-efficient data aggregation for wireless sensor networks. International Journal of Distributed Sensor Networks, 9(5), 1–11.

    Google Scholar 

  85. Lohani, D., & Verma, S. (2016). Energy efficient data aggregation in mobile agent based wireless sensor network. Wireless Personal Communications (Springer), 89(4), 1165–1176.

    Google Scholar 

  86. Mohanty, P., & Kabat, M. R. (2016). Energy efficient structure-free data aggregation and delivery in WSN. Egyptian Informatics Journal, 17(3), 273–284.

    Google Scholar 

  87. Anbuchelian, S., & Chandra Sekar, A. (2016). Load balanced energy efficient data aggregation technique for wireless sensor network”. Sensor Letters, 14(12), 1222–1226.

    Google Scholar 

  88. Madan, R., Cui, S., Lall, S., & Goldsmith, N. A. (2006). Cross-layer design for lifetime maximization in interference-limited wireless sensor networks. IEEE Transactions on Wireless Communications, 5(11), 3142–3152.

    Google Scholar 

  89. Kwon, H., Kim, T. H., Choi, S., & Lee, B. G. (2006). A cross-layer strategy for energy-efficient reliable delivery in wireless sensor networks. IEEE Transactions on Wireless Communications, 5(12), 3689–3699.

    Google Scholar 

  90. Kim, J., Lee, J., & Kim, S. (2008). A cross-layer approach for efficient delivery in wireless sensor networks. In 4th International conference on wireless communications, networking and mobile computing. San Diego, CA.

  91. Ren, Q., & Liang, Q. (2008). Throughput and energy-efficiency aware protocol for ultra wideband communication in wireless sensor networks: A cross layer approach. IEEE Transactions on Mobile Computing, 7(6), 805–815.

    Google Scholar 

  92. Wang, H., Yang, Y., Ma, M., He, J., & Wang, X. (2008). Network lifetime maximization with cross-layer design in wireless sensor networks. IEEE Transactions on Wireless Communications, 7(10), 3759–3768.

    Google Scholar 

  93. Kim, J., Lee, J., & Kim, S. (2009). An enhanced cross-layer protocol for energy efficiency in wireless sensor networks. In Third international conference on sensor technologies and applications, Athens, Glyfada, Greece, 18–23 June 2009.

  94. Vuran, M. C., & Akyildiz, I. F. (2009). Error control in wireless sensor network: a cross layer analysis. IEEE/ACM transactions on Networking, 17(4), 1186–1189.

    Google Scholar 

  95. Huang, J., Zhang, K., & Yu, M. (2011) A cross-layer collision-aware routing protocol in wireless sensor networks. In: International conference on computer science and service systems (CSSS), Nanjing, China, 27–29 June 2011.

  96. He, S., Chen, J., Yau, D. K. Y., & Sun, Y. (2012). Cross-layer optimization of correlated data gathering in wireless sensor networks. IEEE Transactions on Mobile Computing, 11(11), 1678–1691.

    Google Scholar 

  97. Chudasama, S. R., & Trapasiya, S. D. (2014). Packet size optimization in wireless sensor network using cross-layer design approach. In International conference on advances in computing, communications and informatics (ICACCI), New Delhi, India, 24–27 September 2014.

  98. Han, G., Dong, Y., Guo, H., Shu, L., & Wu, D. (2015). Cross-layer optimized routing in wireless sensor networks with duty cycle and energy harvesting. Wireless Communication and Mobile Computing Journal, 15(16), 1957–1981.

    Google Scholar 

  99. Rappaport, T. S. (1996). Wireless communications: Principles and practice. New York: Prentice Hall.

    MATH  Google Scholar 

  100. Proakis, J. G. (1995). Digital communications (3rd ed.). New York: McGraw-Hill.

    MATH  Google Scholar 

  101. Lin, S., & Costello, D. J., Jr. (1983). Error control coding: fundamentals and applications. Upper Saddle River: Prentice-Hall.

    MATH  Google Scholar 

  102. Balakrishnan, G., Yang, M., Jiang, Y., & Kim, Y. (2007). Performance analysis of error control code for wireless sensor networks. In Fourth international conference on information technology (INTG’07) (pp. 876–879), 2–4 April 2007, Las Vegas, NV, USA.

  103. Islam, M. R. (2010). Error correction code in wireless sensor network. International Journal of Electrical Computer Energetic Electronic and Communication Engineering, 4(1), 59–64.

    Google Scholar 

  104. Pellenz, M. E., Souza, R. D., & Fonseca, M. S. P. (2010). Error control coding in wireless sensor network. Telecommunication Systems (Springer), 44(1–2), 61–68.

    Google Scholar 

  105. Ez-zazi, I., Arioua, M., Oualkadi, A., & El Assari, Y. (2015). Performance analysis of efficient coding schemes for wireless sensor networks. In 3rd international workshop on RFID and wireless sensor networks (RAWSN) (pp. 42–47), Agadir, Morocco, 13–15 May 2015.

  106. Singh, D., & Singh, H. (2015). Packet size optimization in WSN using LDPC codes. In: The proceedings of IEEE INDICON 2015, New Delhi, India, 17–20 December 2015.

  107. Sasikala, T., Bhagyaveni, M. A., & Kumar, V. J. S. (2016). Cross layer adaptive rate optimised error control coding for WSN. Wireless Networks (Springer), 22(6), 2071–2079.

    Google Scholar 

  108. Ez-zazi, I., Arioua, M., Oualkadi, A., & Lorenz, P. (2017). A hybrid adaptive coding and decoding scheme for multi-hop wireless sensor networks. Wireless Personal Communications (Springer), 94(4), 3017–3033.

    Google Scholar 

  109. Ez-zazi, I., Arioua, M., Oualkadi, A., & Lorenz, P. (2017). On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks. Ad Hoc Networks (Elsevier), 64, 99–111.

    Google Scholar 

  110. Howard, S. L., Schlegel, C., & Iniewski, K. (2006). Error control coding in low power wireless sensor networks: when is ECC energy-efficient? EURASIP Journal of Wireless Communications and Networking, 2, 1–14.

    Google Scholar 

  111. Shih E. et al. (2001). Physical layer driven protocol and algorithm design for energy efficient wireless sensor networks. In Proceedings of ACM Mobicom’01, (pp. 272–287) Rome, Italy, 16–21 July 2001.

  112. Sankarasubramaniam, Y., Akyildiz, I. F., & McLaughlin, S. W. (2003). Energy efficiency based packet size optimization in wireless sensor networks. In Proceedings of first IEEE international workshop on sensor networks protocols and applications (SNPA’03) (held in conjunction with ICC’03) (pp. 1–8). Anchorage, Alaska, USA, 11 May 2003.

  113. Schwieger, K., Kumar, A., & Fettweis, G. (2005). On the impact of the physical layer on energy consumption in sensor networks. In Proceedings EWSN’05, February 2005, pp. 13–24.

  114. Karvonen, H., & Pomalaza-Ráez, C. (2004). Coding for energy efficient multihop wireless sensor networks. In Proceedings of Nordic radio symposium 2004/finland wireless communications workshop 2004(NRS/FWCW 2004) (pp. 1–5), Oulu, Finland, 16–18 August 2004.

  115. Chouhan, S., Bose, R., & Balakrishnan, M. (2009). Integrated energy analysis of error correcting codes and modulation for energy efficient wireless sensor nodes. IEEE Transaction on Wireless Communications, 8(10), 5348–5355.

    Google Scholar 

  116. Srivastava, S., Spagnol, C., & Popovici, E. (2009). Analysis of a set of error correcting schemes in multi-hop wireless sensor networks. In 2009 Ph.D. research in microelectronics and electronics, Cork, Ireland, 12–17 July 2009.

  117. Nithya, V., Ramachandran, B., & Bhaskar, V. (2014). Energy efficient coded communication for IEEE 802.15.4 complaint wireless sensor networks. Wireless Personal Communications (Springer), 77(1), 675–690.

    Google Scholar 

  118. Rali, M. V., Song, M., & Shetty, S. (2008). “Virtual wired transmission scheme using directional antennas to improve energy efficiency in wireless mobile ad-hoc networks”, MILCOM 2008–2008 IEEE Military Communications Conference. San Diego, CA, USA, 16–19, 1–7.

    Google Scholar 

  119. Alawieh, B., Assi, C. M., & Ajib, W. (2008). Distributed correlative power control schemes for mobile ad hoc networks using directional antennas. IEEE Transactions on Vehicular Technology, 57(3), 1733–1744.

    Google Scholar 

  120. Lu, X., Tousley, D., Lio, P., & Xiong, Z. (2012). An adaptive directional MAC protocol for ad hoc networks using directional antennas. Science China Information Sciences (Springer), 55, 1360–1371.

    MathSciNet  Google Scholar 

  121. Dang, D. N. M., Le, H. T., Kang, H. S., Hong, C. S., & Choe, J. (2015). Multi-channel MAC protocol with directional antennas in wireless ad hoc networks. In: 2015 international conference on information networking (ICOIN) (pp. 81–86). Cambodia, 12–14 January 2015.

  122. Kumai, N., Kumar, R., & Bajaj, R (2017). Mobile ad hoc networks and energy efficiency using directional antennas: A review. In 2017 international conference on intelligent computing and control systems (ICICCS) (pp. 1213–1219), Madurai, 15–16 June 2017.

  123. Kumari, N., Kumar, R., & Bajaj, R. (2018). Energy efficient communication using reconfigurable directional antenna in MANET. Procedia Computer Science (Elsevier), 125, 194–200.

    Google Scholar 

  124. Zarifzadeh, S., Nayyeri, A., & Yazdani, N. (2008). Efficient construction of network topology to conserve energy in wireless ad hoc networks. Computer Communications (Elsevier), 31(1), 160–171.

    Google Scholar 

  125. Jeng, A. A., & Jan, R. (2011). Adaptive topology control for mobile ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 22(12), 1953–1960.

    Google Scholar 

  126. Zarifzadeh, S., Yazdani, N., & Nayyeri, A. (2012). Energy-efficient topology control in wireless ad hoc networks with selfish nodes. Computer Networks (Elsevier), 56(2), 902–914.

    Google Scholar 

  127. Chu X., & Sethu, H. (2012). Cooperative topology control with adaptation for improved lifetime in wireless ad hoc networks. In 2012 Proceedings IEEE INFOCOM (pp. 262–270). Orlando, FL, 25–30 March 2012.

  128. Shirali, N., & Jabbedari, S. (2013). Topology control in the mobile ad hoc networks in order to intensify energy conservation. Applied Mathematical Modelling, 37(24), 10107–10122.

    Google Scholar 

  129. Yakine, F., & Idrissi, A. (2015). Energy-aware topology control and QoS routing in ad-hoc networks. Procedia Computer Science (Elsevier), 56, 309–316.

    Google Scholar 

  130. Zhang, W., Peng, L., Xu, R., & Zhang, L. (2016). Topology control in wireless mobile ad hoc networks with directional antennas. In 2016 2nd IEEE international conference on computer and communications (ICCC) (pp. 1701–1705). Chengdu, 14–17 October 2016.

  131. Waqas, A., & Mahmood, H. (2017). A game theoretical approach for topology control in wireless ad hoc networks with selfish nodes. Wireless Personal Communications (Springer), 96, 249–263.

    Google Scholar 

  132. Rahmani, P., & Javadi, H. H. S. (2019). Topology control in MANETs using the Bayesian pursuit algorithm. Wireless Personal Communications (Springer), 106(3), 1089–1116.

    Google Scholar 

  133. Krunz, M., Muqattash, A., & Lee, S.-J. (2004). Transmission power control in wireless ad hoc networks: challenges, solutions and open issues. IEEE Network, 18(5), 8–14.

    Google Scholar 

  134. Gomez, J., & Campbell, A. T. (2007). Variable-range transmission power control in wireless ad hoc networks. IEEE Transactions on Mobile Computing, 6(1), 87–99.

    Google Scholar 

  135. Quiroz-Perez, C., & Gulliver, T. A. (2010). An energy efficient power control protocol for ad hoc networks using directional antenna. In International conference on ad-hoc networks and wireless (ADHOC-NOW 2010) (pp. 15–28). Edmonton, AB, Canada, 20–22 August 2010.

  136. Seth, D. D., Patnaik, S., & Pal, S. (2014). EPCM: An efficient power controlled MAC protocol for mobile ad hoc network. International Journal of Electronics (Taylor & Francis), 101(10), 1443–1457.

    Google Scholar 

  137. Femila, L., & Vijayarangan, V. (2014). Transmission power control in mobile ad hoc network using network coding and co-operative communication. In 2014 international conference on communication and network technologies (pp. 129–133). Sivakasi, India, 18–19 December 2014.

  138. Ahmed, A. S., Kumaran, T. S., Syed, S. S. A., & Subburam, S. (2015). Cross-layer design approach for power control in mobile ad hoc networks. Egyptian Informatics Journal, 16(1), 1–7.

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the anonymous reviewers and Editor-in-Chief for their valuable suggestions to improve the quality of the paper.

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam, 788010, India

    Sultan Mahmood Chowdhury & Ashraf Hossain

  2. Department of Electronics and Communication Engineering, Malla Reddy Engineering College for Women, Secunderabad, Telangana, 500100, India

    Sultan Mahmood Chowdhury

Authors
  1. Sultan Mahmood Chowdhury
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ashraf Hossain
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sultan Mahmood Chowdhury.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chowdhury, S.M., Hossain, A. Different Energy Saving Schemes in Wireless Sensor Networks: A Survey. Wireless Pers Commun 114, 2043–2062 (2020). https://doi.org/10.1007/s11277-020-07461-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07461-5

Keywords

Search

Navigation