A priority based WSN clustering of Multiple Sink Scenario using Artificial Bee Colony Algorithm
Ravi Teja, S. Indu · 2016
Wireless Sensor Networks are limited by the battery lifetime of the sensor nodes as well as gateways and should be able to send useful packets to the Sink. Therefore, energy efficiency and data packets are the primary parameters which have to be considered while designing clustering and routing algorithms for WSN. This paper presents an energy efficient as well as a priority based wireless sensor network clustering and routing algorithm for a multiple sink scenario using Artificial Bee Colony Optimization with a multi objective fitness function which takes into account the priority of each sink, energy of gateway, sensor and distance of sensor node to the gateway which reduces the energy consumption of the network and ensures the sinks with more priority receive more packets. The proposed algorithm has been extensively tested in MATLAB and the results are shown in terms of data packets sent to each sink, the total energy of gateways, the total energy of sensors, dead nodes in each round and the lifetime of the network.