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
