A Review on Energy Efficiency in WSN Using BFOA

Wireless Sensor Networks (WSN) has increased tremendously in recent time due to growth in Micro-Electro-Mechanical Systems (MEMS) technology. WSN has the potentiality to connect the physical world with the virtual world by forming a network of sensor nodes. Here, sensor nodes are usually battery-operated devices, and hence energy saving of sensor nodes is a major design issue. Energy control is the most important problem for wireless sensor networks, and the design of an efficient energy strategy for prolonging the whole networks lifetime. Bacterial foraging optimization algorithm (BFOA) has attracted a lot of attention as a high performance optimizer because of its faster convergence and global search approach. Since its inception in 2001, many variants of BFOA have come up leading to even faster convergence with higher accuracy. The focus of this paper is to present the energy control strategy in energy-efficient routing protocols for wireless sensor networks using BFO.