Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
TEEN: ARouting Protocol for Enhanced Efficiency in Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Chain-Based Protocols for Data Broadcasting and Gathering in Sensor Networks
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
A Power Efficient Routing Protocol Based on Balanced Tree in Wireless Sensor Networks
DFMA '05 Proceedings of the First International Conference on Distributed Frameworks for Multimedia Applications
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Data gathering is an important operation in wireless sensor networks. Due to the limited battery power, sensor nodes consume significant energy and drain out of it quickly if each node transmits its sensed data directly to a distant base station, even though the delay time is minimized in a round of communication. Hence, there is a trade-off between minimizing both of the energy consumed by sensor nodes and the delay time, then the overall cost is defined as the energy × delay cost. In this paper, we propose an Efficient Grid-based Data Gathering (EGDG) scheme which adopts a hierarchical grid structure and constructs cycles by connecting heads in each order of the hierarchy. Data transmissions move toward a leader from two starter nodes simultaneously in each cycle. The objective of EGDG is to achieve a better result for the energy × delay cost comparing to other schemes, and also to accomplish significant coverage-preserving at the same time. Simulation results show that EGDG outperforms than LEACH and PEGASIS in terms of rounds, the energy × delay cost and coverage-preserving.