Energy Efficient Data Collection from Clusters in Wireless Sensor Network with Help of Mobile Bots

In a wireless sensor networks, there are large numbers of sensor that are used to collect data from the network whenever any event occurs. These sensor nodes are placed at large distance from the base station. The data transmission range of sensor node is limited, so the clusters of sensor nodes are formed with the help of any optimizing algorithm. Genetic algorithm (GA), artificial bee Colony (ABC) algorithm or Particle Swarm Optimization (PSO) algorithm can be used to form clusters. The multiple mobile nodes are going to collect the data from those cluster heads. The ABC-MMN algorithm is used to minimize the energy consumed by the cluster heads. Also, instead of single mobile node, multiple mobile nodes would be used to reduce the travelling cost. The pre-computed path is being used for data collection on the basis of the clusters formed by optimizing algorithm. The communication of mobile nodes is done with each other for a change in the path during the collection of data from cluster heads.