Visible to the public Balanced Load Clustering with Trusted Multipath Relay Routing Protocol for Wireless Sensor Network

TitleBalanced Load Clustering with Trusted Multipath Relay Routing Protocol for Wireless Sensor Network
Publication TypeConference Paper
Year of Publication2019
AuthorsKumar, A. Ranjith, Sivagami, A.
Conference Name2019 Innovations in Power and Advanced Computing Technologies (i-PACT)
PublisherIEEE
ISBN Number978-1-5386-8190-9
Keywordsbalanced load clustering, balanced load clustering concepts, composability, energy consumption, Energy efficiency, Hybrid medium access control (HMAC), malicious activity trusted multipath relay routing protocol, multipath channels, multipath trust, network simulation software, pattern clustering, pubcrawl, quality of service, relay networks (telecommunication), relay node, Routing protocols, Scalability, telecommunication security, Trust Routing, trust values, trusted multipath relay routing, wireless channels, Wireless Sensor Network, Wireless sensor networks, WSN
Abstract

Clustering is one of an eminent mechanism which deals with large number of nodes and effective consumption of energy in wireless sensor networks (WSN). Balanced Load Clustering is used to balance the channel bandwidth by incorporating the concept of HMAC. Presently several research studies works to improve the quality of service and energy efficiency of WSN but the security issues are not taken care of. Relay based multipath trust is one of the methods to secure the network. To this end, a novel approach called Balanced Load Clustering with Trusted Multipath Relay Routing Protocol (BLC-TMR2) to improve the performance of the network. The proposed protocol consists of two algorithms. Initially in order to reduce the energy consumption of the network, balanced load clustering (BLC) concepts is introduced. Secondly to secure the network from the malicious activity trusted multipath relay routing protocol (TMR2) is used. Multipath routing is monitored by the relay node and it computed the trust values. Network simulation (NS2) software is used to obtain the results and the results prove that the proposed system performs better the earlier methods the in terms of efficiency, consumption, QoS and throughput.

URLhttps://ieeexplore.ieee.org/document/8960149
DOI10.1109/i-PACT44901.2019.8960149
Citation Keykumar_balanced_2019