An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing
Location-based spiral clustering for transmission scheduling in wireless sensor networks
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
The Internet of Things: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
SPINE: a domain-specific framework for rapid prototyping of WBSN applications
Software—Practice & Experience
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Least squares quantization in PCM
IEEE Transactions on Information Theory
IEEE Communications Magazine
BodyCloud: Integration of Cloud Computing and body sensor networks
CLOUDCOM '12 Proceedings of the 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom)
Editorial: Integration of Cloud computing and body sensor networks
Future Generation Computer Systems
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Wireless body sensor networks are expected to extend human-centered applications in large-scale sensing and detecting environments. Energy savings has become one of the most important features of the sensor nodes to prolong their lifetime in such networks. To provide reasonable energy consumption and to improve the network lifetime of wireless body sensor network systems, new and efficient energy-saving schemes must be developed. An energy-saving routing architecture with a uniform clustering algorithm is proposed in this paper to reduce the energy consumption in wireless body sensor networks. We adopted centralized and cluster-based techniques to create a cluster-tree routing structure for the sensor nodes. The main goal of this scheme is to reduce the data transmission distances of the sensor nodes by using the uniform cluster structure concepts. To make an ideal cluster distribution, the distances between the sensor nodes are calculated, and the residual energy of each sensor node is accounted for when selecting the appropriate cluster head nodes. On the basis of the uniform cluster location, the data transmission distances between the sensor nodes can be reduced by employing an adaptive multi-hop approach. The energy consumption is reduced, and the lifetime is extended for the sensor nodes by balancing the network load among the clusters. Simulation results show that the proposed scheme outperforms the previously known schemes in terms of the energy consumption and the network lifetime for the wireless body sensor networks.