DocumentCode :
3241290
Title :
Prolonging lifetime of wireless sensor networks with mobile base station using particle swarm optimization
Author :
Latiff, Nurul Adilah Abdul ; Latiff, Nurul Mu´azzah Abdul ; Ahmad, R. Badlishah
Author_Institution :
Fac. of Sci. & Technol., Univ. Malaysia Terengganu, Kuala Terengganu, Malaysia
fYear :
2011
fDate :
19-21 April 2011
Firstpage :
1
Lastpage :
6
Abstract :
Wireless sensor networks are a family of networks in wireless communication system and have the potential to become significant subsystem of engineering applications. In view of the fact that the sensor nodes in wireless sensor networks are typically irreplaceable, this type of network should operate with minimum possible energy in order to improve overall energy efficiency. Therefore, the protocols and algorithms developed for sensor networks must incorporate energy consumption as the highest priority optimization goal. Since the base station in sensor networks is usually a node with high processing power, high storage capacity and the battery used can be rechargeable, the base station can be utilized to collect data from each sensor node in the sensing area by moving closer to the transmitting node. In this paper, we proposed an energy-efficient protocol for the movement of mobile base station using particle swarm optimization (PSO) method in wireless sensor networks. Simulation results demonstrate that the proposed protocol can improve the network lifetime, data delivery and energy consumption compared to existing energy-efficient protocols developed for this network.
Keywords :
mobile communication; particle swarm optimisation; protocols; wireless sensor networks; energy consumption; energy efficiency; energy-efficient protocol; engineering applications; mobile base station; particle swarm optimization; sensor nodes; wireless communication system; wireless sensor networks; Base stations; Clustering algorithms; Data communication; Mobile communication; Protocols; Sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0003-3
Type :
conf
DOI :
10.1109/ICMSAO.2011.5775487
Filename :
5775487
Link To Document :
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