EEPMS: Energy efficient path planning for mobile sink in wireless sensor networks: A genetic algorithm-based approach

Abstract

The area of wireless sensor networks (WSNs) has been highly explored due to its vast application in various domains. The main constraint of WSN is the energy of the sensor nodes. The use of mobile sink (MS) is one of the prominent methods to preserve the energy of sensor nodes.Moreover, use of mobile sink is also solving the hot-spot problem of wireless sensor network. In the paper, we propose a genetic algorithm-based approach to plan the path for mobile sink. All the basic intermediate operations of genetic algorithms, i.e., chromosome representation, crossover and mutation are well explained with suitable examples. The proposed algorithm is shown its efficacy over the randomly generated path.