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Security‐aware authorization and verification based data aggregation model for wireless sensor networks
Author(s) -
Nels S. Ninisha,
Singh J. Amar Pratap
Publication year - 2020
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2844
Subject(s) - data aggregator , computer science , wireless sensor network , news aggregator , computer network , key (lock) , node (physics) , data transmission , key distribution in wireless sensor networks , sensor node , distributed computing , wireless , wireless network , computer security , engineering , telecommunications , structural engineering , operating system
In Wireless Sensor Network (WSN), the sensor nodes aggregate the environment and transmit the aggregated data to the Cluster Head (CH) or aggregator. Even though various data aggregation model is introduced, the resource‐constrained issues in WSN are complex to solve in the research community. Therefore, the authorization and verification‐based data aggregation model is proposed in this research to perform the secure data transmission. The proposed network model contains three functioning blocks, such as sensor nodes, aggregators, and data centers, respectively. The proposed data aggregation model involves five different phases, setup and key generation phase, signing, verification, authorization, and data aggregation phase. The sensor node creates the ID and private key to perform the data communication between the Cluster Head and data center. The data center generates the control message and transfers the message to CH and the sensor node. Finally, the data aggregation is carried out using the trimodel Least Mean Square (LMS) filter to achieve the data aggregation in WSN. Moreover, the proposed authorization and verification‐based data aggregation model obtained a lower prediction error of 0.0526 and consumed higher energy of 0.5567 J with the computational and the communication cost as 0.008 second, and 0.0139 second, respectively.