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ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
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Proceedings of the 10th annual international conference on Mobile computing and networking
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Topological hole detection in wireless sensor networks and its applications
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Local approximation schemes for ad hoc and sensor networks
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MAP: medial axis based geometric routing in sensor networks
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ADHOC-NOW '08 Proceedings of the 7th international conference on Ad-hoc, Mobile and Wireless Networks
Efficient Broadcasting in Known Geometric Radio Networks with Non-uniform Ranges
DISC '08 Proceedings of the 22nd international symposium on Distributed Computing
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Information Processing Letters
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WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
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IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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IEEE/ACM Transactions on Networking (TON)
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IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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EURASIP Journal on Wireless Communications and Networking - Special issue on adaptive cross-layer strategies for fourth generation wireless communications
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WG'04 Proceedings of the 30th international conference on Graph-Theoretic Concepts in Computer Science
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International Journal of Sensor Networks
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Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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In this paper we study a model for ad-hoc networks close enough to reality as to represent existing networks, being at the same time concise enough to promote strong theoretical results. The Quasi Unit Disk Graph model contains all edges shorter than a parameter d between 0 and 1 and no edges longer than 1.We show that .in comparison to the cost known on Unit Disk Graphs .the complexity results in this model contain the additional factor 1 /d2. We prove that in Quasi Unit Disk Graphs flooding is an asymptotically message-optimal routing technique, provide a geometric routing algorithm being more efficient above all in dense networks, and show that classic geometric routing is possible with the same performance guarantees as for Unit Disk Graphs if d = 1/v2.