Wireless integrated network sensors
Communications of the ACM
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Rumor routing algorthim for sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing 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
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
Gradient-based routing in sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Maximizing the Lifetime of Dominating Sets
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
Automatic decentralized clustering for wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Balanced-energy sleep scheduling scheme for high-density cluster-based sensor networks
Computer Communications
Meteorology and hydrology in Yosemite national park: a sensor network application
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Energy aware routing with dynamic probability scaling
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
IEEE Communications Magazine
SensorMaker: A Wireless Sensor Network Simulator for Scalable and Fine-Grained Instrumentation
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
BARC: A Battery Aware Reliable Clustering algorithm for sensor networks
Journal of Network and Computer Applications
Towards clustering algorithms in wireless sensor networks: a survey
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Energy efficient program updating for sensor nodes with flash memory
Proceedings of the 2010 ACM Symposium on Applied Computing
The Journal of Supercomputing
Future Generation Computer Systems
WSNs clustering based on semantic neighborhood relationships
Computer Networks: The International Journal of Computer and Telecommunications Networking
Extending the lifetime of wireless sensor networks: A hybrid routing algorithm
Computer Communications
Journal of Network and Computer Applications
Mobility adaptive unequal cluster-based routing protocol in wireless sensor networks
International Journal of Sensor Networks
ELACCA: Efficient Learning Automata Based Cell Clustering Algorithm for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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The main goal of this research is concerning clustering protocols to minimize the energy consumption of each node, and maximize the network lifetime of wireless sensor networks. However, most existing clustering protocols consume large amounts of energy, incurred by cluster formation overhead and fixed-level clustering, particularly when sensor nodes are densely deployed in wireless sensor networks. In this paper, we propose PEACH protocol, which is a power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks. By using overhearing characteristics of wireless communication, PEACH forms clusters without additional overhead and supports adaptive multi-level clustering. In addition, PEACH can be used for both location-unaware and location-aware wireless sensor networks. The simulation results demonstrate that PEACH significantly minimizes energy consumption of each node and extends the network lifetime, compared with existing clustering protocols. The performance of PEACH is less affected by the distribution of sensor nodes than other clustering protocols.