Single-path routing for life time maximization in multi-hop wireless networks

Yigal Bejerano, Keon Taek Lee, Seung Jae Han, Amit Kumar

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Energy-aware routing is important in multi-hop wireless networks that are powered by battery, e.g.; wireless sensor networks. To maximize the network survivability, the energy efficiency of paths must be taken into account for route selection. Simple heuristics such as choosing paths with minimal energy consumption are ineffective, because the energy of the nodes on such paths may deplete quickly. The issue is particularly serious for the networks with regular traffic pattern as in monitoring sensor applications. Existing solutions to this issue typically adopt the multi-path routing approach, in which multiple paths are set up between source and destination and one (or all) of the paths is (are) used at a certain moment. However, this approach involves high overhead for establishment and management of multiple paths. In this paper, we present a static single-path routing scheme which uses one energy-efficient path for each communicating peer throughout the network lifetime, eliminating the overhead of multi-path routing. It is theoretically proved that our routing scheme achieves a constant factor approximate of the optimal solution. We compare the performance of the proposed scheme with that of multi-path routing via simulations. Despite the use of single static path, the proposed scheme outperforms existing multi-path routing schemes and produces performance close to the optimal multi-path solution, particularly in heavily loaded networks and multiple-gateway networks.

Original languageEnglish
Pages (from-to)263-275
Number of pages13
JournalWireless Networks
Volume17
Issue number1
DOIs
Publication statusPublished - 2011 Jan

Bibliographical note

Funding Information:
Acknowledgments This work was partially supported by the IT R&D program of MKE/KEIT [KI002137, Ultra Small Cell Based Autonomic Wireless Network].

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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