Analysis and optimization of energy of sensor node using ACO in wireless sensor network  Wireless Sensor Networks (WSNs) are collection of tiny sensor nodes capable of sensing, processing and broadcasting data correlated to some occurrence in the network area. The sensor nodes have severe limitation, such as: bandwidth, short communication range, limited CPU processing facility, memory and energy. Enhancing the lifetime of wireless sensors network and efficient utilizations of bandwidth are essential for the proliferation of wireless sensor network in different applications. In the literature, various energy efficient routing algorithms have been stated in order to enhance network lifetime. In this paper, reported the conditions for efficient use of energy using ant colony optimization technique. The performance of the gradient based routing protocol and energy aware routing protocol have been analyzed and compared to calculate the energy utilization for the sensor network area. Results show energy aware routing with ant colony optimization provides more feasible routing solutions in source node to sink node and provide significant enhancement on the lifetime of the sensor network.
Energy-aware routing protocol and gradient-based routing (GBR) protocol also exploits ACO REF to minimize energy consumption.
Analysis and Optimization of Energy of Sensor Node Using ACO in Wireless Sensor Network
Procedia Computer Science
Computer Science