An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Complexity in wireless scheduling: impact and tradeoffs
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Z-MAC: a hybrid MAC for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
An Energy Conservation MAC Protocol in Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Distributed Energy Optimization for Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Distance estimation by constructing the virtual ruler in anisotropic sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
International Journal of Communication Systems
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In the application of target tracking based on dynamic convey tree-based collaboration (DCTC) in wireless sensor networks, collisions and interferences among nodes pose a challenge for data aggregation. In this paper, we refine slot allocation to the nodes in dynamic convey tree and design an energy efficient MAC protocol called D-TDMA, which avoids collisions and interferences and allocates contiguous active slots to nodes as far as possible during data aggregation from leaf nodes to a root node. As a result, the energy consumption in switching from sleeping to active state is saved. Simulation results show that D-TDMA not only gets rid of the impact of collisions and interferences among nodes in dynamic convey tree, but also performs similar throughput to that of CSMA-like mechanism where nodes work without active/sleep scheduling strategy. Our protocol outperforms ESR in both energy efficiency and low delay.