Skip to main content

Advertisement

Log in

Energy efficient emergency rescue scheme in wireless sensor networks

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

Internet of Things (IoT) plays an important role in various applications such as industrial control system, environmental monitoring, fire detection, smart home and much more. In today’s scenarios data transmission in emergency rescue is a challenging issue with respect of energy efficient. In this paper, an Energy Efficient Emergency Rescue Scheme (EEERS) is proposed and evaluated which transfers reliable data with high speed and minimum delay in the field of IoT. The simulation is done on MATLAB on different size of network 100–500 sensor nodes. Proposed routing scheme EEERS is compared with existing routing protocols SAR and SPEED on different parameters namely end-to-end delay, throughput, energy consumption, packet loss and packet delivery ratio. Simulation results show that EEERS minimizes end-to-end delay 30–35%, increases throughput 40–42%, reduces energy consumption 50–55%, minimizes packet loss 60–65% and enhances packet delivery ratio 36–40% in emergency rescue environment of IoT. EEERS works on large size of network and prolongs network lifetime.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Qui T, Lv Y, Xia F et al (2016) ERGID: an efficient routing protocol for emergency response Internet of Things. J Netw Comput Appl 72:104–112

    Article  Google Scholar 

  2. Huang Y, Wang L, Hou Y et al (2018) A prototype IOT based wireless sensor network for traffic information monitoring. IJPRT 11:146–152

    Google Scholar 

  3. Flammini A, Sissini E (2015) Wireless sensor networking in the internet of things and cloud computing era. Eurosensors 87:672–679

    Google Scholar 

  4. Mehta R, Sahni J, Khanna K (2018) Internet of Things: vision, applications and challenges. CCIDS 132:1263–1269

    Google Scholar 

  5. Todli D, Silvestre J, Santonja S et al (2018) Deploy&Forget wireless sensor networks for itinerant applications. Comput Stand Interfaces 56:27–40

    Article  Google Scholar 

  6. Patil HK, Chen TM (2017) Wireless sensor network security: the Internet of Things. CISH 7:317–337

    Google Scholar 

  7. Gaur A, Scotney B, Parr G et al (2016) Smart city architecture and its applications based on IoT. IUPT 52:1089–1094

    Google Scholar 

  8. Shah J, Mishra B (2016) Customized IoT enabled wireless sensing and monitoring platform for smart buildings. ICIAME 23:256–263

    Google Scholar 

  9. Sobral JVV, Rodriguse JJPC, Rabelo RAL et al (2017) A framework for enhancing the performance of internet of things applications based on RFID and WSNs. NCA 22:1–33

    Google Scholar 

  10. Liqiang Z, Shouyi Y, Leibo L et al (2015) A crop monitoring system based on wireless sensor network. Environ Sci 11:558–565

    Google Scholar 

  11. Rani S, Talwar R, Malhotra J et al (2015) A novel scheme for an energy efficient internet of things based on wireless sensor networks. MDPI 21:28603–28627

    Article  Google Scholar 

  12. Mukherjee S, Biswas GP (2017) “Networking for IoT and applications using existing communication technology. Egypt Inform J 12:1–21

    Google Scholar 

  13. Khalil N, Abid MR, Benhaddou D et al (2014) Wireless sensors networks for internet of things. ISSNIP 14378536:1–6

    Google Scholar 

  14. Manrique JA, Rueda JSR, Portocarreo JMT (2016) Contrasting internet of things and wireless sensor network from a conceptual overview. CPSCom 16864829:1–6

    Google Scholar 

  15. Yang T, Xiangyang X, Peng L et al (2018) A secure routing of wireless sensor networks based on trust evaluation model. ICICT 131:1256–1163

    Google Scholar 

  16. Sadek RA (2018) Hybrid energy aware clustered protocol for IoT heterogeneous network. FCIJ 18:1–12

    Google Scholar 

  17. Fernades RF, Brandao D (2016) Proposal of receiver initiated MAC protocol for WSN in urban environment using IoT. IFAC 49:102–107

    Google Scholar 

  18. Sfar AR, Natalizio E, Challal Y et al (2018) A roadmap for security challenges in the Internet of Things. Digit Commun Netw 4:118–137

    Article  Google Scholar 

  19. Ai ZY, Zhou YT, Song F (2018) A smart collaborative routing protocol for reliable data diffusion in IoT scenarios. MDPI 18:1–21

    Google Scholar 

  20. Cecilo J, Martins P, Furtado P (2017) Planning for heterogeneous IoT with time guaranties. ICANT 109:249–256

    Google Scholar 

  21. Devi MD, Geetha K, Saryandevi K (2017) Content based routing using information centric network for IoT. ICACC 115:707–714

    Google Scholar 

  22. Zhong X, Liang Y (2018) Scalable downward routing for wireless sensor networks and internet of things actuation. CSNI 12:1–10

    Google Scholar 

  23. Sung YY, Lee S, Lee M (2018) A multi-hop clustering mechanism for scalable IoT networks. MDPI 22:1–15

    Google Scholar 

  24. Luo M, Luo Y, Wan Y et al (2018) Secure and efficient access control scheme for wireless sensor networks in the cross-domain context of the IoT. Secur Commun Netw 2018:1–11

    Google Scholar 

  25. Soni A, Randhwada R (2018) OSDAP-optimized and secure data aggregation protocol for wireless sensor networks. IJAER 13(5):3027–3033

    Google Scholar 

  26. Singh P, Kaur N, Kaur R (2015) A review: comparative analysis of routing protocols in wireless sensor network. IJNTT 3(1):30–36

    Google Scholar 

  27. Verma N, Singh D (2018) Data redundancy implications in wireless sensor networks. ICCIDS 132:1210–1217

    Google Scholar 

  28. Roy A, Sarma N (2018) Effects of various factors on performance of MAC protocols for underwater wireless sensor networks. ICMS 5:2263–2274

    Google Scholar 

  29. Archana S, Salvan AS (2016) SAR protocol based secure data aggregation in wireless sensor network. In: ISCO, pp 1–6, 2016

  30. Asad M, Niamin Y, Aslam M (2018) Spiral mobility based on optimized clustering for optimal data extraction in WSN. MDPI 18:1–21

    Google Scholar 

  31. Sarkar A, Senthil T (2016) Routing protocols for wireless sensor networks: what the literature says? Alex Eng J 55:3173–3138

    Article  Google Scholar 

  32. Ahmed M, Salleh M, Channa MI (2018) Routing protocols based on protocol operations for underwater wireless sensor network: a survey. Egypt Inform J 19:57–62

    Article  Google Scholar 

  33. Shah SA, Nazir B, Khan IA (2017) Congestion control algorithms in wireless sensor networks: trends and opportunities. JKSU-CIS 29:236–245

    Google Scholar 

  34. Xiaojun L, Xinchun J, Zonguan H (2017) Mobile node aware opportunistic routing in dynamic wireless sensor network. JCUPT 23:15–25

    Google Scholar 

  35. Model and Simulate Dynamic System behavior with MATLAB. https://in.mathworks.com/discovery/modeling-and-simulation.html

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Omkar Singh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rishiwal, V., Singh, O. Energy efficient emergency rescue scheme in wireless sensor networks. Int. j. inf. tecnol. 13, 1951–1958 (2021). https://doi.org/10.1007/s41870-020-00584-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-020-00584-9

Keywords

Navigation