Abstract

Energy conservation is an essential and critical requirement for a wireless sensor network with battery oper-ated nodes intended for long term operations. Prior work has described different approaches to routing protocol designs that achieve energy efficiency in a wireless sensor network. Several of these works involve variations of mote-to-mote routing (flat routing) while some make use of leader nodes in clusters to perform routing (hierarchical routing). A key question then arises as to how the performance of an energy-aware, flat routing protocol compare with that of one based on hierarchical routing. This paper demonstrates a hierarchical routing protocol design that can conserve significant energy in its setup phase as well as during its steady state data dissemination phase. This paper describes the design of this protocol and evaluates its performance against existing energy-aware flat routing protocols. Simulation results show that it exhibits competitive performance against the flat routing protocols.

Highlights

  • Wireless adhoc networks comprise of stationary or mobile devices that communicate over wireless channels without any fixed wired backbone infrastructure

  • Via performance simulations against existing energy-efficient routing protocols that use energy-distance metrics, probabilistic distribution of packet traffic and MAC adaptations, we show that Energy Clustering Protocol (ECP) exhibits very low energy variance as well as high energy efficiency over wireless sensor network (WSN) with increasing number of nodes

  • This research has demonstrated that ECP is a viable energy conserving protocol which balances energy consumption over the network

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Summary

Introduction

Wireless adhoc networks comprise of stationary or mobile devices that communicate over wireless channels without any fixed wired backbone infrastructure. Protocol design must ensure that packet traffic is distributed relatively uniformly across the network so that energy resources of all nodes are depleted at a balanced rate. This will ensure that certain network sections/nodes will not be abruptly disconnected due to low energy resources [7,9]. These are by no means trivial requirements and pose conflicting demands on the design of energy-aware routing protocols [20].

Related Work
Motivation and Contribution
Overview
Clustering
Route Management Phase
Energy Model
Data Dissemination
Simulation
Performance Metrics
Findings
Conclusions
Full Text
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