A Synopsis of Energy Optimized Hybrid Data Aggregation Algorithm for WSN

Wireless sensor networks (WSNs) consist of numerous low-power sensor nodes with limited computing ability and storage capacity. Maximizing energy savings is a crucial research area in WSN. Data aggregation is the most appropriate way to resolve energy issues involves various scheduling algorithms. This paper proposes a combined framework for data aggregation that resolves many data aggregation issues. The hybrid tree construction algorithms proposed in the fi rst part uses binary tree construction method to perform delay effi cient data aggregation. The collision problem of the network has been resolved using a hybrid tree based distributed aggregation scheduling in second part. The hybrid cryptography algorithm proposed in third part provides the secure data aggregation. The fi nal part of this proposed model concludes all the algorithms into a single solution in an energy effi cient way. The performance analyses of the proposed frameworks are verifi ed through mathematical models and simulation results. The proposed model is designed to support static as well as dynamic network environment in all monitoring applications.