Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
An Energy-Efficient Routing Method of Wireless Sensor Networks
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Energy-based selective cluster-head rotation in wireless sensor networks
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Clustering with case-based reasoning for wireless sensor network
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
MKPS: a multi-level key pre-distribution scheme for secure wireless sensor networks
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
A new cluster head selection scheme for long lifetime of wireless sensor networks
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Weighted energy efficient cluster based routing for wireless sensor networks
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
Personal and Ubiquitous Computing
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Wireless sensor network consists of small battery powered sensors. Therefore, energy consumption is an important issue and several schemes have been proposed to improve the lifetime of the network. In this paper we propose a new approach called energy-driven adaptive clustering hierarchy (EDACH), which evenly distributes the energy dissipation among the sensor nodes to maximize the network lifetime. This is achieved by using proxy node replacing the cluster-head of low battery power and forming more clusters in the region relatively far from the base station. Comparison with the existing schemes such as LEACH (Low-Energy Adaptive Clustering Hierarchy) and PEACH (Proxy-Enabled Adaptive Clustering Hierarchy) reveals that the proposed EDACH approach significantly improves the network lifetime.