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DEEP: : Distance and encounter based energy-efficient protocol for opportunistic networks

Authors: Sanjay Kumar Dhurandher, Satya J. Borah, Isaac Woungang, Suryansh Tibarewal, Leonard BarolliAuthors Info & Claims

Journal of High Speed Networks, Volume 24, Issue 2

Pages 119 - 131

https://doi.org/10.3233/JHS-180585

Published: 01 January 2018 Publication History

Abstract

Designing a routing protocol for opportunistic networks (OppNets) is a challenging task due to node’s mobility and the lack of further knowledge about the network topology and the presence or not of an end-to-end path. This paper proposes an energy efficient routing protocol called Distance and Encounter based Energy-Efficient Protocol (DEEP), in which the selection of the best next hop forwarder for a message relies on the node’s energy. Simulation results demonstrate that the proposed scheme outperforms E-Prophet, E-PRoWait and E-EDR, our energy-aware implementations of the Probabilistic Routing Protocol using History of Encounters and Transitivity (so-called Prophet), Probability-based controlled flooding in opportunistic networks (so-called PRoWait), and Encounter and Distance based Routing (so-called EDR) routing protocol, in terms of node’s residual energy, number of dead nodes, message delivery probability, and message latency.

References

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Cited By

Sachdeva RDev A(2024)ML Based Hybrid Computational Intelligence Protocol to Improve Energy Efficiency and Security in Opportunistic Networks (Oppnets)Wireless Personal Communications: An International Journal10.1007/s11277-024-11661-8139:2(1203-1223)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s11277-024-11661-8

Index Terms

DEEP: Distance and encounter based energy-efficient protocol for opportunistic networks
1. Networks
  1. Network protocols
    1. Network layer protocols
      1. Routing protocols
  2. Network types
    1. Mobile networks
    2. Wireless access networks

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

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Published In

cover image Journal of High Speed Networks

Journal of High Speed Networks Volume 24, Issue 2

2018

84 pages

ISSN:0926-6801

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© 2018 – IOS Press and the authors. All rights reserved.

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IOS Press

Netherlands

Publication History

Published: 01 January 2018

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Cited By

Sachdeva RDev A(2024)ML Based Hybrid Computational Intelligence Protocol to Improve Energy Efficiency and Security in Opportunistic Networks (Oppnets)Wireless Personal Communications: An International Journal10.1007/s11277-024-11661-8139:2(1203-1223)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s11277-024-11661-8

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