EcoSense: a context and semantics driven framework for eco-aware ambient environments
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
A hole detour scheme using virtual position based on residual energy for wireless sensor networks
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
An ambient intelligence framework for large-scale eco-aware systems
International Journal of Autonomous and Adaptive Communications Systems
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As sensor networks are deployed over various terrains, the complexity of their topology continues to grow. Voids in networks often cause existing geographic routing algorithms to fail. In this paper, we propose a novel geographic routing algorithm called “Greedy Forwarding with VIrtual Position (ViP)”. We introduce virtual position as the middle position of all direct neighbors of a node. Instead of comparing nodes' real geographic positions, ViP employs virtual positions when selecting the next hop. Such virtual position reflects the neighborhood of a sensor node, as well as the tendency of further forwarding. For sparsely-deployed networks, ViP increases success rate of packet routing without introducing significant overhead. Furthermore, multiple levels of virtual position can be obtained with localized iteration. We propose the “Greedy Forwarding with Multi-level Virtual Position (MVP)” algorithm and the “Greedy Forwarding with Hierarchical Virtual Position (HVP)” algorithm. Different levels of virtual positions and their combinations are used alternatively to increase success rate of packet routing in sensor networks.