Computational Intelligence Routing for Lifetime Maximization in Heterogeneous Wireless Sensor Networks
G. Umarani Srikanth1, M. Akilandeshwari2
1Mrs. G. Umarani Srikanth, M.E (Ph.D.), Associate Professor, HOD, Department of PG Studies in Engineering, S.A. Engineering College, Chennai (Tamil Nadu), India.
2Ms. M. Akilandeshwari B.Tech., (ME), Department of PG Studies Engineering, S.A. Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 18 June 2012 | Revised Manuscript received on 25 June 2012 | Manuscript published on 30 June 2012 | PP: 5-10 | Volume-1 Issue-2, June 2012 | Retrieval Number: A0160041212/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In wireless sensor networks, sensor nodes are typically power-constrained with limited lifetime, and thus it is necessary to know how long the network sustains its networking operations. Heterogeneous WSNs consists of different sensor devices with different capabilities. One of major issue in WSNs is finding the coverage distance and connectivity between sensors and sink. To increase the network lifetime, this paper proposed Swarm Intelligence, routing technique called Ant Colony Optimization (ACO). Ant colony optimization algorithm provides a natural and intrinsic way of exploration of search space of coverage area. Ants communicate with their nest-mates using chemical scents known as pheromones, Based on Pheromone trail between sensor devices the shortest path is found. By finding the coverage distance and sensing range, the network lifetime maximized and reduces the energy usage. Extensive Java Agent Framework (JADE) multi agent simulator result clearly provides more approximate, effective and efficient way for maximizing the lifetime of heterogeneous WSNs.
Keywords: Wireless Sensor Networks (WSNs), Ant colony optimization (ACO), connectivity, coverage, network lifetime, JADE.
Scope of the Article: Wireless Sensor Networks