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In this book, the problem of finding a path from a source to a destination node in a mesh of mobile wireless nodes is considered. One class of solutions to this problem is based on the position-based routing paradigm, whereby the forwarding nodes rely solely on the knowledge of their geographical location (which can be established, e.g., via GPS), the location of their neighbors, and the location of the destination. This book proposes several new randomized position-based algorithms for routing in mobile ad-hoc networks. The proposed algorithms incorporate two heuristics: greedy aimed at minimizing the remaining distance of the packet to the destination, and compass striving to minimize the packet's deviation from the direction towards the destination. Additionally, the routing decisions are randomized - for improved flexibility and reliability communication. Experimental results obtained for various network topologies show that the delivery rates of our randomized algorithms are significantly better than those attained by the deterministic variants of the same heuristics.
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In this book, the problem of finding a path from a source to a destination node in a mesh of mobile wireless nodes is considered. One class of solutions to this problem is based on the position-based routing paradigm, whereby the forwarding nodes rely solely on the knowledge of their geographical location (which can be established, e.g., via GPS), the location of their neighbors, and the location of the destination. This book proposes several new randomized position-based algorithms for routing in mobile ad-hoc networks. The proposed algorithms incorporate two heuristics: greedy aimed at minimizing the remaining distance of the packet to the destination, and compass striving to minimize the packet's deviation from the direction towards the destination. Additionally, the routing decisions are randomized - for improved flexibility and reliability communication. Experimental results obtained for various network topologies show that the delivery rates of our randomized algorithms are significantly better than those attained by the deterministic variants of the same heuristics.
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