Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Timing-sync protocol for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A Wakeup Scheme for Sensor Networks: Achieving Balance between Energy Saving and End-to-end Delay
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
A New Energy Efficient Protocol for Minimizing Multi-Hop Latency in Wireless Sensor Networks
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Adaptive energy-efficient registration and online scheduling for asymmetric wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy conservation in wireless sensor networks: A survey
Ad Hoc Networks
Towards unified radio power management for wireless sensor networks
Wireless Communications & Mobile Computing - Distributed Systems of Sensors and Actuators
Energy optimal transmission scheduling in wireless sensor networks
IEEE Transactions on Wireless Communications
Architecting the Internet of Things
Architecting the Internet of Things
IEEE Communications Magazine
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
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Advances of the identifying, sensing, and communicating technologies make the applications of Internet of Things (IoT) possible. Among others, the ubiquitous deployment of wireless sensor networks (WSNs) is regarded as one of the most significant forces in the IoT. Great progress in micro-electro-mechanical systems and wireless communications make the applications of WSNs more and more accessible. The limited battery power of the sensor node is vitally precious. Therefore, it is important to promote the energy efficiency to stretch the lifetime of the WSNs. In this paper, a low-power data transmission protocol, which includes a dual-frequency model, local synchronization, and channel reservation, is proposed. The results of numerical analyses and simulations show that the proposed protocol presents better energy efficiency without sacrificing end-to-end latency of data transmission in WSNs.