System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Network-Centric Approach to Embedded Software for Tiny Devices
EMSOFT '01 Proceedings of the First International Workshop on Embedded Software
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Distance-Based Energy Efficient Clustering for Wireless Sensor Networks
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Enhancement energy efficient TDMA wake up MAC protocol by clustering for wireless sensor networks
Proceedings of the International Conference on Advances in Computing, Communication and Control
Lifetime elongation for wireless sensor network using queue-based approaches
The Journal of Supercomputing
Context-adaptive and energy-efficient mobile transaction management in pervasive environments
The Journal of Supercomputing
The Journal of Supercomputing
Efficient data collection with spatial clustering in time constraint WSN applications
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
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Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requirement of applications/users such as sensing area coverage. In this paper, we propose a novel hierarchical clustering protocol (DEEG) for long-lived sensor network. DEEG achieves a good performance in terms of lifetime by minimizing energy consumption for in-network communications and balancing the energy load among all the nodes, the proposed protocol achieves a good performance in terms of network lifetime. DEEG can also handle the energy hetergenous capacities and guarantee that out-network communications always occur in the subregion with high energy reserved. Furthermore, it introduces a simple but efficient approach to cope with the area coverage problem. We evaluate the performance of the proposed protocol using a simple temperature sensing application. Simulation results show that our protocol significantly outperforms LEACH and PEGASIS in terms of network lifetime and the amount of data gathered.