Energy aware swarm optimization with intercluster search for wireless sensor network.
Wireless sensor networks (WSNs) are emerging as a low cost popular solution for many real-world challenges. The low cost ensures deployment of large sensor arrays to perform military and civilian tasks. Generally, WSNs are power constrained due to their unique deployment method which makes replaceme...
| Publicado en: | Scientific World Journal Vol. 2015; pp. 395256 - 395257 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
1/1/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109728922&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109728922 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 1/1/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109728922 NLM25918741 2012989520 10.1155/2015/395256 NLM25918741 PMC4396544 109728922 ppf: 395256 ppct: 1 formats: tig: atl: Energy aware swarm optimization with intercluster search for wireless sensor network. aug: au: Thilagavathi, Shanmugasundaram Gnanasambandan Geetha, Bhavani Geetha, Bhavani Gnanasambandan affil: Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode, Tamilnadu 637 215, India sug: ab: Wireless sensor networks (WSNs) are emerging as a low cost popular solution for many real-world challenges. The low cost ensures deployment of large sensor arrays to perform military and civilian tasks. Generally, WSNs are power constrained due to their unique deployment method which makes replacement of battery source difficult. Challenges in WSN include a well-organized communication platform for the network with negligible power utilization. In this work, an improved binary particle swarm optimization (PSO) algorithm with modified connected dominating set (CDS) based on residual energy is proposed for discovery of optimal number of clusters and cluster head (CH). Simulations show that the proposed BPSO-T and BPSO-EADS perform better than LEACH- and PSO-based system in terms of energy savings and QOS. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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