Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8854
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dc.contributor.authorSingh, Shweta-
dc.contributor.authorBhatt, Ravindara-
dc.date.accessioned2022-12-30T07:01:07Z-
dc.date.available2022-12-30T07:01:07Z-
dc.date.issued2012-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8854-
dc.description.abstractCommunication is the main motive in any Networks whether it is Wireless Sensor Network, Ad-Hoc networks, Mobile Networks, Wired Networks, Local Area Network, Metropolitan Area Network, Wireless Area Network etc, hence it must be energy efficient. The main parameters for energy efficient communication are maximizing network lifetime, saving energy at the different nodes, sending the packets in minimum time delay, higher throughput etc. This paper focuses mainly on the energy efficient communication with the help of Adjacency Matrix in the Wireless Sensor Networks. The energy efficient scheduling can be done by putting the idle node in to sleep node so energy at the idle node can be saved. The proposed model in this paper first forms the adjacency matrix and broadcasts the information about the total number of existing nodes with depths to the other nodes in the same cluster from controller node. When every node receives the node information about the other nodes for same cluster they communicate based on the shortest depths and schedules the idle node in to sleep mode for a specific time threshold so energy at the idle nodes can be saved.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectWireless Sensor Networken_US
dc.subjectClustersen_US
dc.subjectAdjacency Matrixen_US
dc.subjectRouteren_US
dc.subjectController Nodeen_US
dc.subjectEnergy Costen_US
dc.subjectDynamic Sensor Networken_US
dc.subjectSleep and Wake up Scheduling Algorithmen_US
dc.titleAdjacency Matrix Based Energy Efficient Scheduling Using S-mac Protocol in Wireless Sensor Networksen_US
dc.typeArticleen_US
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