Abstract—For a Wireless Sensor Network (WSN), designing low power scalable network remains a challenge for researchers. The sensor nodes find it difficult to gather and transfer data to sink node when they are deployed in hostile and unfavorable environment. Hence, establishing and maintaining connectivity among the mobile sensor nodes in decentralized network play an important role when the environment is unfavorable. Senor nodes self organize themselves in order to establish and maintain the connectivity. This paper proposes a nature based Swarm Intelligence (SI) technique, based on insect firefly to enhance connectivity among the sensor nodes for a decentralized mobile WSN in an energy efficient manner. The foraging feature of insect firefly is used in the proposed algorithm for which a multi-objective fitness function with parameter energy and distance has been designed. The proposed algorithm is theoretically analyzed and verified by simulation and the results show that the proposed algorithm leads energy consumption compared to existing firefly algorithm and prolongs the network lifetime significantly.



Index Term—Wireless Sensor Network (WSN), firefly algorithm, Swarm Intelligence (SI), connectivity, self organization.

Cite: Mamatha K. M. and Kiran M., "Firefly Algorithm for Self Organization of Mobile Wireless Sensor Network," Journal of Communications vol. 15, no. 3, pp. 270-275, March 2020. Doi: 10.12720/jcm.15.3.270-275

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.