An Optimized Lifetime Enhancement scheme for data gathering in wireless sensor networks
- 1 December 2009
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2009 Fifth International Conference on Wireless Communication and Sensor Networks (WCSN)
Abstract
Design of energy efficient schemes for data gathering is an important concern for lifetime enhancement of wireless sensor networks. Variation in the distances of nodes from the Base Station and differences in inter-nodal distances are primary factors causing unequal energy dissipation among the nodes. Thus energy difference between the various nodes increases with time resulting in degraded network performance. The LEACH and PEGASIS schemes which provided elegant solutions to the problem suffer basic drawbacks due to randomization of cluster heads and greedy chain formation respectively. In this paper, we propose an Optimized Lifetime Enhancement (OLE) Scheme which shows enhanced performance over these schemes. OLE increases the network performance by ensuring a sub-optimal energy dissipation of the individual nodes despite their random deployment. It employs modern heuristics like particle swarm optimization instead of the greedy algorithm as in PEGASIS to construct energy efficient routing paths. Extensive simulations validate the improved performance of OLE.Keywords
Other Versions
This publication has 7 references indexed in Scilit:
- A Particle Swarm Optimization Algorithm with Crossover OperatorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- On the lifetime of wireless sensor networksIEEE Communications Letters, 2005
- Data gathering in sensor networks using the energy*delay metricPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Energy-efficient communication protocol for wireless microsensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Self-organizing distributed sensor networksPublished by SPIE-Intl Soc Optical Eng ,1999
- Optimization by Simulated AnnealingScience, 1983
- Equation of State Calculations by Fast Computing MachinesThe Journal of Chemical Physics, 1953