Energy utilization strategies using novel approach in wireless sensor networks
Energy utilization strategies using novel approach in wireless sensor networks
- Author(s): S. Karthikeyan and S. Jayashri
- DOI: 10.1049/ic.2012.0143
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- Author(s): S. Karthikeyan and S. Jayashri Source: International Conference on Software Engineering and Mobile Application Modelling and Development (ICSEMA 2012), 2012 page ()
- Conference: International Conference on Software Engineering and Mobile Application Modelling and Development (ICSEMA 2012)
- DOI: 10.1049/ic.2012.0143
- ISBN: 978-1-84919-736-6
- Location: Chennai, India
- Conference date: 19-21 Dec. 2012
- Format: PDF
Wireless Sensor Networks, emerged as a promising technology, offering unique benefits and supporting diverse applications, in terms of sensing. The challenging issue in these networks is optimal utilization of energy of its node, which maximizes its lifetime. In this proposed algorithm, energy efficient strategies are focused to optimize the energy consumption of the node. The cross layer approach provides a generic solution to increase the performance and energy efficiency of the wireless sensor networks. The different techniques in energy efficient strategies are energy efficient routing, scheduling the node's sleeping state and reducing the volume of information transferred. Special protocols are proposed for each technique. Multi path routes with multiHop of the data transmission to the destination node with less node failures. We show that extensive simulation is done by shortest path flat routing technique using Network simulator2 and Java. The best energy efficiency will be obtained by combining and following all these techniques. Using an active node set the node participating in several sets may improve network lifetime. (5 pages)
Inspec keywords: telecommunication network reliability; Java; energy conservation; telecommunication computing; routing protocols; wireless sensor networks; scheduling
Subjects: Protocols; Object-oriented programming; Communications computing; Reliability; Communication network design, planning and routing; Wireless sensor networks
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