JOURNAL ARTICLE

Energy Efficient Backbone Formation Using Particle Swarm Optimization Algorithm in Wireless Sensor Networks

Samaneh PoostfroushanMehdi Agha SarramRazieh Sheikhpour

Year: 2014 Journal:   International Journal of Grid and Distributed Computing Vol: 7 (1)Pages: 123-134

Abstract

Connected dominating set (CDS) problem is a promising approach for backbone formation in wireless sensor networks.Selecting proper nodes to construct the CDS in order to prolong the network lifetime is an important issue when designing connected dominating set algorithms in wireless sensor networks.In this paper, we propose an energy efficient connected dominating set (CDS) scheme in wireless sensor networks which prolongs the network lifetime.In proposed algorithm, we use an optimal weight based on the minimum residual energy and maximum effective degree of nodes for backbone formation to prolong the network lifetime.The optimal weight coefficients are determined using particle swarm optimization (PSO) algorithm.Then, when selecting nodes for dominating set (DS) formation, these coefficients will be used.If the degree of a node is more than coefficient of degree constraint and energy of a node is less than coefficient of energy constraint, the node won't be selected for DS formation.The message and time complexity of the proposed algorithm is O(n).Simulation results show that proposed algorithm outperforms the other methods in terms of network lifetime.

Keywords:
Wireless sensor network Particle swarm optimization Computer science Node (physics) Algorithm Connected dominating set Degree (music) Set (abstract data type) Constraint (computer-aided design) Energy (signal processing) Mathematical optimization Computer network Mathematics Engineering

Metrics

7
Cited By
1.84
FWCI (Field Weighted Citation Impact)
21
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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