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Energy-aware Randomized Neighbor Discovery Protocol based on Collision Detection in Wireless Ad Hoc Networks

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Abstract

In wireless ad hoc networks, neighbor discovery is necessary as an initial step. In this work we present LECDH (Low Energy Collision Detection Hello), an energy-aware randomized handshake-based neighbor discovery protocol for static environments. We carried out simulations through Castalia 3.2 simulator and compared LECDH with an existing protocol EAH (Energy Aware Hello) used as reference. We conclude that the proposal outperforms the reference protocol both in one-hop and multi-hop environments in terms of Energy consumption, Discovery time, Number of discovered neighbors, Throughput, and Discoveries per packet sent, for high duty cycles. Moreover, for low number of nodes in LECDH, as the duty cycle is reduced the performance is better according to all 5 metrics in both environments. Overall, we found that our proposal follows more realistic assumptions and still allows nodes to succeed at discovering all their neighbors almost with probability 1. Moreover, a qualitative comparison of the reference solution and our proposal is included in this paper.

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Acknowledgements

This work has been partially supported by the ”Ministerio de Economía y Competitividad” in the ”Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia, Subprograma Estatal de Generación de Conocimiento” within the project under Grant TIN2017-84802-C2-1-P. This work has also been partially supported by European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR. This work has also been partially founded by the Universitat Politècnica de València through the post-doctoral PAID-10-20 program.

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Correspondence to Jose Vicente Sorribes.

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Sorribes, J.V., Peñalver, L., Jimenez, J.M. et al. Energy-aware Randomized Neighbor Discovery Protocol based on Collision Detection in Wireless Ad Hoc Networks. Mobile Netw Appl 28, 31–48 (2023). https://doi.org/10.1007/s11036-022-01995-7

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