Sensor Node Communication based Selfish Node Detection in Mobile Wireless Sensor Networks

Thangaraj, S.John Justin and Ramshankar, N. and Srividhya, E. and Jayanthi, S. and Kumudham, R. and Srinivasan, C. (2023) Sensor Node Communication based Selfish Node Detection in Mobile Wireless Sensor Networks. In: 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India.

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Sensor Node Communication based Selfish Node Detection in Mobile Wireless Sensor Networks _ IEEE Conference Publication _ IEEE Xplore.pdf

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Abstract

A mobile wireless sensor network (MWSN) is a self-configuring network that does not require a fixed structure, which minimizes its operation time. At the same time, every node in this network is free to move and make the network change its topology frequently. Several routing algorithms designed for MWSNs are established on every node that forwards data packets in the network. However, in real time, some of the nodes may act as selfish nodes. Those selfish nodes use the network and its services but do not cooperate with other nodes. Therefore, detecting these nodes is essential for the WSN. Thus, this approach, “sensor node communication-based selfish node detection” (CSND) in MWSN, is proposed. In this approach, it can be verified that the node communicates based on the route request and reply messages sent within the communication network. The article's objective is to distinguish the selfish node in WSNs. This approach elects the forwarder node based on the highest energy level and node communication ratio (RNC). The BS is noticing the behaviour of every communication in the MWSN. The simulation illustrates that it enhances delivery and drop rates and improves energy efficiency during data transmission.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Computer Network
Divisions: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 24 Sep 2024 09:05
Last Modified: 24 Sep 2024 09:05
URI: https://ir.vistas.ac.in/id/eprint/7051

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