Energy efficient clustering techniques for data collection in wireless sensor networks


Dahnil Sikumbang, Dahlila Putri (2013) Energy efficient clustering techniques for data collection in wireless sensor networks. PhD thesis, Multimedia University.

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The thesis addresses the problem of energy constraint in Wireless Sensor Networks which requires efficient management of the energy which is mainly from battery source. The focus is to create energy efficient techniques for data collection and to ensure network connectivity in cluster-based routing in Wireless Sensor Networks. Thus, the thesis first develops the energy dissipation model in term of number of neighbours connected to a node (node degree) to obtain minimum energy dissipation in the network. The node degree becomes the basis to constraint the cluster size so that throughout the network operation the network remains connected. Based on the idea of constraint cluster size, a second study proposes a new cluster-based routing algorithm called Topology Controlled Adaptive Clustering (TCAC). The proposed clustering technique integrates dynamic transmission power control schemes to constraint clusters which enable cluster heads to fulfill minimum node degree to improve network lifetime and to maintain connectivity throughout the network lifetime.

Item Type: Thesis (PhD)
Additional Information: Call No.: TJ163.3 D34 2013
Uncontrolled Keywords: Energy conservation--Wireless sensor networks
Subjects: T Technology > TJ Mechanical Engineering and Machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 21 Oct 2014 08:12
Last Modified: 13 Apr 2023 01:11


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