Developing a simulated annealing algorithm for the cutting stock problem
Computers and Industrial Engineering
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
A taxonomy of wireless micro-sensor network models
ACM SIGMOBILE Mobile Computing and Communications Review
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
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
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
COSEN: A Chain Oriented Sensor Network for Efficient Data Collection
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
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Power-efficiency and transmission delay are critical for periodical data gathering applications in wireless sensor networks. This paper presents a scalable power-efficient data gathering protocol with delay guaranty (PDGPDG) for wireless sensor networks. The protocol attempts to balance the energy consumption and transmission delay by dividing the entire network into clusters and then organizing clusters as sub-chains. The parallel transmission among different clusters minimizes the delay and routing data along near optimal sub-chain in the clusters reduces the total energy dissipation. PDGPDG is efficient in the ways that it prolongs the lifetime of network, as well as it takes much lower time to finish a transmission round. Simulation results show that it demonstrates about 200% better performance than that of LEACH in terms of network lifetime and improves the energy×delay metric by a factor of 2-6 compared to PEGASIS.