Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi

Saleh Al-Shalabi, Ahmed Abdullah (2014) Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 5 (5). Institute of Graduate Studies, UiTM, Shah Alam.


Sensors are tiny devices, which consume low power and are inexpensive; they are used in many applications, such as, military surveillance, target tracking, forest-fire alarm. Many applications require k-coverage network to ensure the quality of the monitored area, where every single point is assured to be concurrently covered by a minimum of k sensors. Meanwhile, the network that provides more than the required k-coverage degree does not enhance the performance, but just increases the number of working sensors, and shortens the network lifetime. Preserving the requested k-coverage for Wireless Sensor Networks, while prolonging the network lifetime with a small computation cost, is a major challenge. This research demonstrates distributed and energyefficient k-coverage scheduling algorithms that preserve the required k-coverage and prolong the network lifetime. An efficient k-coverage algorithm for sensors with fixed sensing range (Maximum Layers Scheduling algorithm - MLS) is demonstrated. MLS efficiently builds maximum number of layers, where, each layer consists of a disjoint set of working sensor nodes that conserve 1-coverage for the whole monitored area, and 1-connection that guarantees each layer is connected, and can individually deliver the data reporting to the base station.


Item Type: Book Section
CreatorsEmail / ID. Num
Saleh Al-Shalabi, Ahmed AbdullahUNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Dissertations, Academic. Preparation of theses > Malaysia
Divisions: Universiti Teknologi MARA, Shah Alam > Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IPSis Biannual Publication
Volume: 5
Number: 5
Item ID: 19234
Uncontrolled Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM; lgorithms; wireless sensor
URI: http://ir.uitm.edu.my/id/eprint/19234



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