[01] Esmaeil Rezaei, Department of Computer, Islamic Azad University, Sepidan Branch, Sepidan, Iran. [02] Safieh Ghasemi, Department of Computer, Islamic Azad University, Sepidan Branch, Sepidan, Iran.

Today many researchers are paying attention to wireless sensor networks due to their vast use in different sciences all over the world. The recollection of energy resources is almost impossible because each node usually acts in natural environments. The awareness of this problem and the fact that each node loses parts of its energy in routing and transmission of data packets makes the use of data aggregation technique so important. Data aggregation algorithms mainly aim to increase the networks lifetime due to reduction of packets transmitted to other nodes. These algorithms are compared with respect to lifetime, Latency and data accuracy. This study presents an effective approach to reducing energy consumption in wireless sensor networks through clustering to increase general lifetime of the network. Our proposed approach uses particle swarm optimization algorithm. The fitness function is computed with respect to initial energy, centralization, average distance and the remaining energy of nodes. The evaluation of the proposed approach shows better performance comparing to other methods.

Wireless Sensor Networks, Data Aggregation, Network Lifetime, Particle Swarm Optimization

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