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Optimal Deployment of Wireless Sensor Networks (WSN) Based on Artificial Fish Swarm Optimization Algorithm

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2015

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
This paper presents wireless sensor network deployment using Artificial Fish Swarm Algorithm (AFSA) which works based on the heuristic behaviour of school of fish. For an effective quality of service in Wireless Sensor Network (WSN), optimal deployment of sensor nodes is an important factor. In this paper, the preying, swarming and chasing behaviours of AFSA were used to randomly and optimally deploy a total of sixty (60) sensor nodes in a network coverage area of 60 square meters. Various performance metric such as: network coverage and mobile nodes, network coverage and iteration and the effect of various attenuation factor were used to evaluate the performance of the proposed AFSA based WSN deployment model. Simulation results shows that the proposed model is valid and can successfully improve the scalability of the WSN.
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REFERENCES

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