Analysis of Nature Ispired Techniques in Wireless Sensor Network

Wireless sensor networks (WSNs) are an emerging technology that has potential applications in surveillance, environment and habitat monitoring, structural monitoring, healthcare etc. As the usage and development of wireless sensor networks increases, problems related to these networks are being discovered. Dynamic deployment is one of the main issues that directly affect the performance of wireless sensor networks. Determining the positions of the sensors is the main subject of sensor network deployment, which depends on the coverage of the interest area. Deployment is always a difficult task due to environmental influences that can trigger bugs. Deployment becomes harder when the sensor nodes are mobile.In this paper, new techniques to deployment problem are discussed based on the Ant colony Optimization (ACO),Neural Network (NN),BACTERIAL FORGING ALGORITHM(BFO),artificial bee colony (ABC),Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks,which is enhanced for the deployment of sensor networks to gain better performance by trying to increase the coverage area of the network and energy consumption. The good performance of the algorithm shows that it can be utilized in the deployment of wireless sensor networks. KeywordsBFO, EEABR, BIOSARP, NN, MBFA, ABCO