Secure Data Aggregation Using Ranking Strategy and Intelligence Similarity Function (SDARIS) for Wireless Sensor Networks
Reshma Siddegowda, Shaila Kalanath, Venugopal Kuppanna Rajuk · International journal of intelligent engineering and systems · 2021
The environmental monitoring application is widely used in agriculture, green house farming, floriculture to monitor temperature range in different zone.This application is an embedded application fabricated with wireless sensors, smart phones, protocols, etc.Therefore, with respect to sensor nodes, the battery lifetime and security are the greater challenge in Wireless Sensor Network.In our work, we have designed a protocol using ranking strategy and intelligence similarity function.Initially, the clusters are formed based on the radius range.The SDARIS protocol focused on training the outer nodes of the cluster to acquire balanced cluster.The outer nodes are trained using ranking strategy and are assigned based on Euclidian distance from outer node to cluster head's and node density of the clusters.This ranking strategy assist to balance cluster size by assigning nodes evenly among all clusters.In addition to balance a cluster size, the SDARIS concentrates on aggregates and secure data during transmission using intelligence similarity function and session keys.The session key is generated for every interval, so the intruder node fails to identify the session key and thus mitigates intruder intervention in the network.Thus, the collaboration of ranking strategy, intelligence similarity function and session key concept in SDARIS protocol improve the overall performance of the network.Hence, SDARIS protocol achieved greater performance with increment of 12% data accuracy, 10% of cluster accuracy, 15% network lifetime and 26% throughput when compared with existing protocol.