Minimize Energy Consumption and Improve the Lifetime of Heterogeneous Wireless Sensor Networks by Using Monkey Search Algorithm
Heterogeneous wireless sensor networks consist of various types of sensor nodes with different sensing units. Energy consumption and life time are the most significant concerns in heterogeneous wireless sensor network so that improving the balance in energy consumption increases the network lifetime. In this paper, the evolutionary approach is introduced to minimize the energy consumption and improve the life time of network. Minimizing the run times of algorithm is the major advantage of this approach.