Chemical Reaction Optimization Based Approach for Scheduling Links in Wireless Sensor Network

In sensor network there are large numbers of wireless sensor nodes powered by small batteries. Reduction of energy consumption of nodes is one of the key issues in data aggregation operation of Wireless sensor network. When sensor node not receiving data, there is lot of energy wastage. To save this energy wastage, links are schedule such that it can wake up only once in scheduling period by assigning the consecutive time slots to each link to fulfill its data collection task. Here we proposed new meta-heuristic technique, called Chemical Reaction Optimization (CRO) inspired by the nature of chemical reaction for scheduling link of nodes. It will optimize the reaction cost with best communication path having minimal distance. In virtue of the link scheduling, the energy consumption by nodes can be reduced which will better in performance than traditional approach.