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An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs

An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs
An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs
Clustering is a key technique to improve energy efficiency in wireless sensor networks (WSNs). In continuous monitoring applications, the clusters should be formed dynamically according to the event development for energy-efficient data gathering. In this paper, an energy-efficient adaptive overlapping clustering method (EEAOC) is proposed in WSNs for continuous monitoring applications. In EEAOC, a 2-logical-coverage overlapping clustering topology is established such that the adjacent sensors in the event area can be grouped into the same cluster for data fusion and the cluster migration operation can be processed without changing the overlapping structure among clusters. Moreover, to further reduce energy consumption, a hybrid data reporting strategy that switches between time-driven and event-driven schemes is introduced based on the QoS requirements in continuous monitoring applications. Simulation results show that EEAOC achieves a longer network lifetime cycle.
1530-437X
1-15
Hu, Yuan
13ecba64-a7b9-43c8-9bf3-2c4050056e6e
Niu, Yugang
33be7ca2-7760-44ef-bd46-410cd326fc17
Lam, James
3eea3836-efda-430c-9ad4-ae4f3d4b8c4a
Shu, Zhan
ea5dc18c-d375-4db0-bbcc-dd0229f3a1cb
Hu, Yuan
13ecba64-a7b9-43c8-9bf3-2c4050056e6e
Niu, Yugang
33be7ca2-7760-44ef-bd46-410cd326fc17
Lam, James
3eea3836-efda-430c-9ad4-ae4f3d4b8c4a
Shu, Zhan
ea5dc18c-d375-4db0-bbcc-dd0229f3a1cb

Hu, Yuan, Niu, Yugang, Lam, James and Shu, Zhan (2016) An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs. IEEE Sensors Journal, 1-15. (doi:10.1109/JSEN.2016.2632198).

Record type: Article

Abstract

Clustering is a key technique to improve energy efficiency in wireless sensor networks (WSNs). In continuous monitoring applications, the clusters should be formed dynamically according to the event development for energy-efficient data gathering. In this paper, an energy-efficient adaptive overlapping clustering method (EEAOC) is proposed in WSNs for continuous monitoring applications. In EEAOC, a 2-logical-coverage overlapping clustering topology is established such that the adjacent sensors in the event area can be grouped into the same cluster for data fusion and the cluster migration operation can be processed without changing the overlapping structure among clusters. Moreover, to further reduce energy consumption, a hybrid data reporting strategy that switches between time-driven and event-driven schemes is introduced based on the QoS requirements in continuous monitoring applications. Simulation results show that EEAOC achieves a longer network lifetime cycle.

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More information

Accepted/In Press date: 17 November 2016
e-pub ahead of print date: 23 November 2016
Organisations: Mechatronics

Identifiers

Local EPrints ID: 403603
URI: http://eprints.soton.ac.uk/id/eprint/403603
ISSN: 1530-437X
PURE UUID: 824c457c-9de1-489a-96f7-636b3c537ad9
ORCID for Zhan Shu: ORCID iD orcid.org/0000-0002-5933-254X

Catalogue record

Date deposited: 07 Dec 2016 11:30
Last modified: 07 Oct 2020 01:59

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