Title: Balanced data gathering strategy based on ant colony algorithm in WSNs

Authors: Chuan-Yun Wang; Feng Tian; En-Yan Sun

Addresses: College of Computer Science, Shenyang Aerospace University, Shenyang, China ' College of Automation, Shenyang Aerospace University, Shenyang, China ' College of Computer Science, Shenyang Aerospace University, Shenyang, China

Abstract: In order to gather the monitoring data with load and energy consumption balance in wireless sensor networks (WSNs) and prolong its lifetime, a data gathering strategy was proposed based on ant colony algorithm. After the sensor nodes were divided into many sub-sets, the global updating of pheromone was achieved in the course of transmission of packet, which was mapped to global ant, and local updating was made to obtain new information of neighbours; then the heuristic function was constructed with energy, distance and hops. According to pheromone track and heuristic information, the packet independently chose the next hop node without the establishment and maintenance of the routing tables. The simulation results show that the algorithm can effectively balance network load and energy consumption, and induce 9.4% additional energy consumption, what has little influence on the network energy efficiency.

Keywords: WSNs; wireless sensor networks; data gathering; ant colony optimisation; ACO; load balancing; WSN monitoring; network lifetime; simulation; network load; energy consumption; energy efficiency.

DOI: 10.1504/IJWMC.2012.051510

International Journal of Wireless and Mobile Computing, 2012 Vol.5 No.4, pp.334 - 340

Received: 19 Dec 2011
Accepted: 30 Dec 2011
Published online: 11 Jan 2015 *

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