Evaluation of Robustness and Adaptability of a Biologically-inspired MANET Routing Protocol
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概要
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Mobile ad hoc networks (MANETs) have various merits over a traditional wired network, e.g. requiring no fixed infrastructure. However, routing in MANETs faces many difficulties, e.g. frequent topology changes and easily interfered multiple access medium. Therefore, a routing protocol is required to be robust and adaptive against topology changes and packet collisions. Biologically-inspired systems are known for their robustness and self-adaptability to a changing environment. Therefore, our proposed protocol (MARAS) utilizes a biologically-inspired mechanism, called attractor selection, to achieve robustness and adaptability. In MARAS, each node sets up a routing vector toward its destination. The routing information is continuously updated by the path condition information, called activity, and used in the next hop selection process of data packet forwarding. The evaluation results show that our routing protocol has a better performance than AODV in both static and random failure scenarios. In particular, MARAS has higher delivery efficiency with lower transmission overhead per successfully delivered packets.
- 2010-01-21
著者
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ASVARUJANON Narun
Advanced Network Architecture Laboratory, Department of Information Networking, Graduate School of I
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LEIBNITZ Kenji
Advanced Network Architecture Laboratory, Department of Information Networking, Graduate School of I
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WAKAMIYA Naoki
Advanced Network Architecture Laboratory, Department of Information Networking, Graduate School of I
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MURATA Masayuki
Advanced Network Architecture Laboratory, Department of Information Networking, Graduate School of I
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Leibnitz Kenji
Advanced Network Architecture Laboratory Department Of Information Networking Graduate School Of Inf
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Wakamiya Naoki
Advanced Network Architecture Laboratory Department Of Information Networking Graduate School Of Inf
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Wakamiya Naoki
Osaka University Graduate School Of Information Science And Technology
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Asvarujanon Narun
Advanced Network Architecture Laboratory Department Of Information Networking Graduate School Of Inf
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Murata Masayuki
Advanced Network Architecture Laboratory Department Of Information Networking Graduate School Of Inf
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