Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/94468
Title: A new energy-efficient local metric for Channel-Aware Geographic-Informed Forwarding (CAGIF) in wireless sensor networks
Authors: Soong, Boon Hee
Zhang, Lili
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2007
Source: Zhang, L., & Soong, B. H. (2007). A New Energy-Efficient Local Metric for Channel-Aware Geographic-Informed Forwarding (CAGIF) in Wireless Sensor Networks. The IEEE International Conference on Communications, pp.3184-3189.
Abstract: This paper proposes a new energy-efficient local metric, termed as efficient advancement metric (EAM), for channel aware geographic-informed forwarding (CAGIF) algorithm, which studies the optimal selection of the relay nodes by taking into account the underlying channel conditions. The proposed metric considers not only the forward distance but also the packet successful probability under a certain channel condition, rather than purely maximizing the forward distance, to choose the most energy-efficient relay node in the geographic- informed routing protocol in a CDMA-based wireless sensor network. The proposed algorithm only requires that nodes have the knowledge of their own location information and the location information of the source and destination nodes. The protocol assumes that nodes could vary transmission range to search for the optimal relay nodes according to this metric. An analytical framework is provided and numerical results show that there exists an optimum distance of a relay node under a certain channel condition to maximize the EAM for any fading conditions.
URI: https://hdl.handle.net/10356/94468
http://hdl.handle.net/10220/7146
DOI: http://dx.doi.org/10.1109/ICC.2007.528
Rights: © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: http://dx.doi.org/10.1109/ICC.2007.528.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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