Visible to the public Trust aware node scheduling protocol for target coverage using rough set theory

TitleTrust aware node scheduling protocol for target coverage using rough set theory
Publication TypeConference Paper
Year of Publication2017
AuthorsChaturvedi, P., Daniel, A. K.
Conference Name2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)
Keywordsactive nodes, autonomous operation, computer theory, coverage maximization, coverage probability, decision rules, Energy efficiency, energy efficient coverage protocol, Fault tolerance, Human Behavior, human factors, lifetime, Monitoring, network efficiency, network lifetime, node states, optimisation, probability, Protocols, pubcrawl, quality of service, resource scarcity, rough set theory, Rough sets, scheduling strategy, Sensors, target coverage, target coverage problem, telecommunication scheduling, Trust, trust aware node scheduling protocol, trust values, Wireless Sensor Network, Wireless sensor networks
Abstract

Wireless sensor networks have achieved the substantial research interest in the present time because of their unique features such as fault tolerance, autonomous operation etc. The coverage maximization while considering the resource scarcity is a crucial problem in the wireless sensor networks. The approaches which address these problems and maximize the network lifetime are considered prominent. The node scheduling is such mechanism to address this issue. The scheduling strategy which addresses the target coverage problem based on coverage probability and trust values is proposed in Energy Efficient Coverage Protocol (EECP). In this paper the optimized decision rules is obtained by using the rough set theory to determine the number of active nodes. The results show that the proposed extension results in the lesser number of decision rules to consider in determination of node states in the network, hence it improves the network efficiency by reducing the number of packets transmitted and reducing the overhead.

URLhttps://ieeexplore.ieee.org/document/8342615/
DOI10.1109/ICICICT1.2017.8342615
Citation Keychaturvedi_trust_2017