Novel DV-hop Method Based on Krill Swarm Algorithm Used for Wireless Sensor Network Localization

Abstract: Wireless sensor network (WSN) is self-organizing network; it consists of a large number of sensor nodes with perception, calculation ability and communication ability. Generally, the floor, walls or people moving has an effect on indoor localization, so it will result in multi-path phenomena and decrease signal strength; also the received signal strength indicator (RSSI) is unable to gain higher accuracy of positioning. In order to improve the WSN positioning accuracy in indoor condition, in this paper, we firstl propose krill swarm algorithm used for WSN localization. We detailed analyze the multilateral measurement method in range-free distance vector-hop (DV-hop) localization algorithm. The position problem can be transformed into a global optimization problem. Then, we adequately utilize the advantage of calculating optimization problem and apply the krill swarm algorithm into the stage of estimating unknown node coordinates in DV-hop algorithm to realize localization. Finally, the simulation experience results show that the localization with krill swarm algorithm has an obviously higher positioning precision and accuracy stability with different anchor node proportion and nodes.
Keywords: WSN, RSSI, DV-hop localization algorithm, krill swarm algorithm, range-free distance, multilateral measurement method
Author: Yang Sun, Shoulin Yin, Jie Liu
Journal Code: jptkomputergg160146

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