FG-MAC: Fine-grained wakeup request MAC for wireless sensor networks

Park, Tae Rim; Lee, M.J.; Park, June-Hyung; Park, Jaehyun

doi:10.1109/lcomm.2007.071286

Cited by 3 publications

(3 citation statements)

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“…The active duration is the time period of how long a device wakes up for frame reception in each wakeup interval. For example, FG-MAC [13] focuses on minimizing the active duration, which dominates energy consumption of low-traffic nodes. However, it should be noted that the active duration is usually determined at the time of protocol design and remains fixed afterwards.…”

Section: Design and Analysis Of Asynchronous Wakeup For Wireless Sensmentioning

confidence: 99%

“…Thus, if nodes have wakeup intervals smaller than , , we assume that end-to-end latency of the network satisfies the latency requirement. Since is positive, we have ∂ 2 ( )/∂ 2 > 0 from (13) and thus ( ) is convex. Since a sum of convex functions is convex, ( ) is also convex.…”

Section: B Model Validationmentioning

confidence: 99%

“…Also, , is the aggregated reception rate of , , 's. First, similar to (13), the active ratio of node adopting MWB is derived as…”

Section: B Derivation Of the Active Ratio Under Heterogeneous Wakeupmentioning

confidence: 99%

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Design and analysis of asynchronous wakeup for wireless sensor networks

Park

Lee

2009

IEEE Trans. Wireless Commun.

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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.Index Terms-Sensor networks, energy saving MAC, IEEE 802.15.4 MAC, distributed optimization.

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Section: Design and Analysis Of Asynchronous Wakeup For Wireless Sensmentioning

confidence: 99%

Section: B Model Validationmentioning

confidence: 99%