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Quasi centralized clustering approach for an energy-efficient and vulnerability-aware routing in wireless sensor networks

Published: 30 May 2008 Publication History

Abstract

In this paper, we propose a Quasi-Centralized Clustering Approach (QCCA), in which Wireless Sensor Network (WSN) partition into disjoint and equal-sized cells. Each cell has a powerful node, which acts as a cluster head. Hence, we consider a heterogeneous cluster-based WSN, which consists of two types of nodes: powerful clusterheads and ordinary sensor nodes. It leverages the advantages of small transmit distances for most nodes, requiring only a few nodes to transmit far distances to the base station. It completely eliminates redundant transmissions by ensuring, via carrier sensing (CSMA-CA), only one head sensor in each cell transmits and communicates with the sink, which can be either mobile or stationary. This approach reduces both energy consumption and communication bandwidth requirements, and prolongs the lifetime of the WSN. Simulation results show that a large amount of energy is saved using this strategy.

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    cover image ACM Conferences
    HeterSanet '08: Proceedings of the 1st ACM international workshop on Heterogeneous sensor and actor networks
    May 2008
    108 pages
    ISBN:9781605581132
    DOI:10.1145/1374699
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 30 May 2008

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    Author Tags

    1. csma-ca
    2. wireless sensor networks

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    • (2021)A Mobile Sink Data Collection Algorithm Based on JGLE Metrics2021 13th International Conference on Communication Software and Networks (ICCSN)10.1109/ICCSN52437.2021.9463645(224-227)Online publication date: 4-Jun-2021
    • (2019)PFARS: Enhancing throughput and lifetime of heterogeneous WSNs through power‐aware fusion, aggregation, and routing schemeInternational Journal of Communication Systems10.1002/dac.414432:18Online publication date: 17-Oct-2019
    • (2018)Route Trajectory Identification Mechanism (RTIM) of MobiSink for Efficient Data Collection in WSNsInternational Journal of Computer and Electrical Engineering10.17706/IJCEE.2018.10.3.233-24010:3(233-240)Online publication date: 2018
    • (2018)A Mobile Sink Routing Algorithm Based on Grouping SLE Measurement2018 10th International Conference on Communication Software and Networks (ICCSN)10.1109/ICCSN.2018.8488211(41-44)Online publication date: Jul-2018
    • (2018)A Mobile Sink Routing Algorithm Based on Grouping SLE Measurement2018 13th APCA International Conference on Control and Soft Computing (CONTROLO)10.1109/CONTROLO.2018.8439811(41-44)Online publication date: Jun-2018
    • (2016)Mobisink-intelligent mobility pattern based routing protocol for efficient data gathering in large scale wireless sensor networks2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)10.1109/ICCICCT.2016.7987833(21-25)Online publication date: Dec-2016
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    • (2015)An Event and Rule-Driven Immune Clustering Routing Algorithm of Wireless Sensor Network with Mobile Sink2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)10.1109/ISKE.2015.42(196-202)Online publication date: Nov-2015
    • (2014)Sink discovery in location-free and mobile-sink wireless sensor networksComputer Networks10.1016/j.comnet.2014.03.02867(123-140)Online publication date: Jul-2014
    • (2013)Energy-Efficient Routing Protocol on Mobile Sink in Wireless Sensor NetworkAdvanced Materials Research10.4028/www.scientific.net/AMR.787.1050787(1050-1055)Online publication date: Sep-2013
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