Location-aided routing (LAR) in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-aware management for cluster-based sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Realtime Dynamic Traffic Control System Based on Wireless Sensor Network
ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
Data fusion in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Path Planning of Mobile Landmarks for Localization inWireless Sensor Networks
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
Journal of Systems Architecture: the EUROMICRO Journal
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The static path planning of transportation network is only considering the shortest-path from source to destination. The approach cannot adjust the path dynamically when the predetermined path is obstructed. It could increase the traveling time to destination and could not effectively plan the path with shortest time. In this paper we propose a Wireless Sensor Network (WSN) assisted framework for dynamic path planning for transportation systems, which collects the traffic information dynamically using sensor nodes and plan the path of transportation network with shortest time using Satellite Navigation System. The WSN can be used for calculating the estimated traveling time and looking for a shortest-time path by way of fusing the traffic information, such as average speed and number of vehicles in a timeframe, collected from the candidate path. Users can thus use handheld device, such as PDA, with GPS (Global Position System) and GIS (Geographic Information System) to dynamically plan the path via requesting the WSN to collect traffic information. It can perform better than the static path planning approach.