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Localization based Anti-Void Clustering Approach (LAVCA) for Energy Efficient Routing in Wireless Sensor Network

Abstract : Energy efficient routing is the main challenge of the researchers in the field of wireless sensor network for a long decade. Resource constrained sensor nodes demand energy consumption as less as possible. Energy efficiency can be achieved by localization and clustering technique. Localization is used to find out the location of sensor nodes without the help of GPS and avoids broadcasting of too many messages to save energy. Event based clustering approach can reduce data redundancy in order to avoid wastage of energy. The proposed approach LAVCA has used both of the techniques in order to diminish energy consumption and increase network lifetime up to a great extent. Packet loss has also been reduced by involving an anti-void approach, called rolling ball technique. Simulation results show that the energy efficiency has been enhanced with compare to CASER, EEHC and DEEC.
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Ayan Das, Rituparna Chaki. Localization based Anti-Void Clustering Approach (LAVCA) for Energy Efficient Routing in Wireless Sensor Network. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.290-302, ⟨10.1007/978-3-319-59105-6_25⟩. ⟨hal-01656241⟩

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