Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Improvement on LEACH Protocol of Wireless Sensor Network
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Diamond-Shaped Routing Method for Reliable Data Transmission in Wireless Sensor Networks
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
An efficient cluster-based self-organisation algorithm for wireless sensor networks
International Journal of Sensor Networks
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
IEEE Communications Magazine
Primate-Inspired Communication Methods for Mobile and Static Sensors and RFID Tags
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
An energy-efficient adaptive clustering algorithm with load balancing for wireless sensor network
International Journal of Sensor Networks
Energy consumption monitoring for sensor nodes in SNAP
International Journal of Sensor Networks
Adaptive dual cluster heads collaborative target tracking in wireless sensor networks
International Journal of Sensor Networks
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Wireless Sensor Networks have emerged as a new information-gathering system based on the collaborative efforts of large number of tiny sensors with limited resource. Energy constraints distinguish sensors networks from other wireless communication networks. Energy efficiency and network lifetime have been the focus of many research works on sensor networks, such as energy aware routing. This paper suggests a new routing protocol called HEEP which combines two algorithms: LEACH and PEGASIS. HEEP advise a new network self-organisation approach, that join clusters-based and the chain-based approaches. This new approach is called chains clustering approach. Organising the network nodes in chains clusters avoids the bad energy dissipation in LEACH protocol and reduces the routing delay generated by PEGASIS protocol. The experimental results show that HEEP outperforms LEACH and LEACH-C with more 110% of network lifetime, and reduces the routing delay introduced in PEGASIS by 50%.