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MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
WITS: A Wireless Sensor Network for Intelligent Transportation System
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
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Proceedings of the 4th international conference on Embedded networked sensor systems
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AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
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IEEE Transactions on Intelligent Transportation Systems
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IEEE Transactions on Intelligent Transportation Systems
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IEEE Wireless Communications
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IEEE Transactions on Intelligent Transportation Systems
Reliable Pretrip Multipath Planning and Dynamic Adaptation for a Centralized Road Navigation System
IEEE Transactions on Intelligent Transportation Systems
The Heterogeneous Systems Integration Design and Implementation for Lane Keeping on a Vehicle
IEEE Transactions on Intelligent Transportation Systems
Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety
IEEE Communications Magazine
Scalable routing protocols for mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
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Most navigation systems adopt a static shortest path routing algorithm with an optional traffic information gathered from a few monitoring devices and managed by a centralised Traffic Information Centre TIC. It yields several drawbacks: only offering the partial traffic information and yielding a low reliability because of using a centralised TIC. This paper thus proposes a fully distributed approach, namely the Distributed Wireless sensor network-based Adaptive least-travel-time Navigation approach D-WAN. In D-WAN, the real-time traffic information is collected from diverse types of sensors equipped on vehicles and exchanged among neighbour vehicles, and then build a fully distributed and reliable navigation environment. Numerical results demonstrate D-WAN outperforms the compared approaches in travel time, exhausted gasoline, and traffic load balancing index while yielding competitive travel distance. The worst case running-time is analysed, which requires ON · R and OM² time under the high-density and sparse vehicle environments, respectively.