Improved network survivability using multi-threshold adaptive range clustering (M-TRAC) algorithm for energy balancing in wireless sensor networks

dc.contributor.authorShivaprakasha, K.S.
dc.contributor.authorKulkarni, M.
dc.contributor.authorJoshi, N.
dc.date.accessioned2026-02-05T09:34:43Z
dc.date.issued2013
dc.description.abstractWireless Sensor Networks (WSNs) have become one of the most prominent areas of research in the field of modern communication systems. But unlike IP based routing, WSNs focus on data centric communication. Thus routing is one of the important issues to be considered for a WSN. As sensor networks are generally deployed in hostile environments, batteries cannot be recharged often. Thus energy conservation is one of the important design parameters for WSNs. Many energy aware routing protocols were proposed in the literature. Cluster based algorithms were proved to be better compared to multi-hop routing. In this paper an attempt is made in proposing a novel cluster based energy efficient routing algorithm for WSNs namely the Multi-Threshold Adaptive Range Clustering (M-TRAC) algorithm, which incorporates centralized network management with variable thresholds in order to assure a uniform load distribution amongst nodes, thus improving the network lifetime. © 2013 - IOS Press and the authors. All rights reserved.
dc.identifier.citationJournal of High Speed Networks, 2013, 19, 2, pp. 99-113
dc.identifier.issn9266801
dc.identifier.urihttps://doi.org/10.3233/JHS-130466
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/26754
dc.subjectCritical transmission ranges
dc.subjectInter-transmissions
dc.subjectMultithreshold
dc.subjectSpanning tree
dc.subjectTransmission ranges
dc.subjectEnergy efficiency
dc.subjectWireless sensor networks
dc.subjectClustering algorithms
dc.titleImproved network survivability using multi-threshold adaptive range clustering (M-TRAC) algorithm for energy balancing in wireless sensor networks

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