Trusted Data Aggregation with Low Energy in Wireless Sensor Networks

— Scientific researches advancements achieving miniaturization of Micro-electromechanical Systems, has enable smarts autonomous embedded devices know as sensor nodes, that are developed on numerous platforms using the proprietary of hardware and software with capability to communicate wirelessly. Today more than ever these sensors are continuously spreading to civilian usage side of things and in many others applications , including military, security, medical, environments, and animal among others, to sense specific occurrence of desired event and may carried very important data on physical device such as the mica-mote. Hence a plethora of security protocols arises in order to mitigate the risks of malicious attacks such as eavesdrop communications, or data alteration, using cryptographic techniques such as Elliptic curve for data privacy, accuracy, integrity, efficiency, and reducing the energy consumption by mote and processors. We focus on securing data by all means. Hence the in-network processing technique is used to reduce considerably the energy consumption, considering that sensors deployments in inaccessible and resource-constrained environments. After the drawback, we investigate the secured data aggregation and give security requirements that are mandatory to a Trusted Data Aggregation with Low Energy model to satisfy. The security and energy performances are analysed comparing with others methods. Index Terms—TDALE, Aggregation, Elliptic curve, RSA, Security, Energy