Uniform Leader Election Protocols for Radio Networks
IEEE Transactions on Parallel and Distributed Systems
Training a wireless sensor network
Mobile Networks and Applications
Efficient binary schemes for training heterogeneous sensor and actor networks
Proceedings of the 1st ACM international workshop on Heterogeneous sensor and actor networks
Efficient corona training protocols for sensor networks
Theoretical Computer Science
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks
IEEE Transactions on Parallel and Distributed Systems
Cooperative training for high density sensor and actor networks
IEEE Journal on Selected Areas in Communications
Efficient Location Training Protocols for Heterogeneous Sensor and Actor Networks
IEEE Transactions on Mobile Computing
Wireless sensor networks: leveraging the virtual infrastructure
IEEE Network: The Magazine of Global Internetworking
VIBE: An energy efficient routing protocol for dense and mobile sensor networks
Journal of Network and Computer Applications
Distributed colorings for collision-free routing in sink-centric sensor networks
Journal of Discrete Algorithms
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When the environment does not allow to access directly to disseminated data, a sensor network could be one of the most appropriate solution to retrieve the map of interesting areas. Based on existing approaches, we start our study from the standard random deployment of a sensor network and then we consider a coarse-grain localization algorithm which associates sensors with coordinates related to a central node, called sink. Once each sensor is related to an estimated position, it starts to send data to the sink according to a provided scheduling of communications which takes care of energy consumption, collisions and time. We propose a scheduling of communications based on distributed and fast coloring algorithms which require O(1) computational time. As the localization is referred to coarse-grain coordinates, it happens that more than one sensor is associated with the same coordinates, hence leader-election mechanism is considered.