Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Optimizing Sensor Networks in the Energy-Latency-Density Design Space
IEEE Transactions on Mobile Computing
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Convex Optimization
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
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A MAC Protocol to Reduce Sensor Network Energy Consumption Using a Wakeup Radio
IEEE Transactions on Mobile Computing
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Ultra-low duty cycle MAC with scheduled channel polling
Proceedings of the 4th international conference on Embedded networked sensor systems
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
Power saving algorithms for wireless sensor networks on IEEE 802.15.4
IEEE Communications Magazine
The critical-square-grid coverage problem in wireless sensor networks is NP-Complete
Computer Networks: The International Journal of Computer and Telecommunications Networking
Duty-cycle optimization for IEEE 802.15.4 wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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In wireless sensor networks, scheduling the sleep duration of each node is one of the key elements for controlling critical performance metrics such as energy consumption and latency. Since the wakeup interval is a primary parameter for determining the sleeping schedule, how to tune the wakeup interval is crucial for the overall network performance. In this paper, we present an effective framework for tuning asynchronous wakeup intervals of IEEE 802.15.4 sensor networks from the energy consumption viewpoint. First, we derive an energy consumption model of each node as an explicit function of the wakeup interval, and empirically validate the derived model. Second, based on the proposed model, we formulate the problem of tuning the wakeup interval with the following two objectives: to minimize total energy consumption and to maximize network lifetime. We show that these two problems can be optimally solved by an iterative algorithm with global information by virtue of the convexity of the problem structure. Finally, as practical solutions, we further propose heuristic optimization algorithms that only exploit local information. In order to develop heuristic algorithms, we propose two broadcasting schemes, which are entitled as maximum wakeup interval broadcasting and efficient local maximum broadcasting. These broadcasting algorithms enable nodes in the network to have heterogeneous wakeup intervals.