文章基本信息

标题：SECURED AND EFFICIENT DATA AGGREGATION USING NOVEL INTEGRATED INCENTIVE-BASED MECHANISM IN WSN ENVIRONMENT
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作者：Nandini S ; Kempanna M
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：3
页码：4919-4931
DOI：10.9756/INT-JECSE/V14I3.650
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Recent developments in WSN have led to the adoption of several new applications like target tracking and habitat monitoring. However, data communication among nodes consumes huge amounts of energy, thus data aggregation was introduced to eliminate data redundancy. Moreover, data security concerns such as freshness, integrity and privacy preservation of nodes become essential in hostile environments. Privacy Preservation-DA (Data Aggregation) is a basic algorithm to secure the Wireless Sensor Networks; however, the existing approach to secure data aggregation still consumes a huge amount of energy to ensure security as most of the security mechanisms follows the cryptographic approach. Hence there is a need for a lightweight consensus approach that can be aimed to enhance lifetime as well. In this research work, IIBM (Integrated Incentive-based mechanism) is developed for security and lifetime aware data aggregation. The Integrated Incentive-based Mechanism (IIBM) follows three parts i.e., first, we design the optimal and secure data aggregation; second part follows the formulation of correct identification of deceptive data packets and the third part includes discarding deceptive nodes through the conditional approach. Integrated Incentive-based Mechanism is evaluated on two aspects i.e. lifetime awareness and security-aware. In terms of lifetime aware, it is evaluated considering the energy utilization, alive nodes and dead nodes; further considering the security aspects two comparison parameter is considered which is deceptive packet identification and misclassification of packet identification. At last, throughput is considered for comparison. The comparative analysis indicates the model improvisation over the existing model.
关键词：WSN;Lifetime Awareness Security;Data Aggregation