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- W13703313 abstract "For wireless sensor networks that are expected to have a long lifetime while operating on limited energy resources, energy efficiency is a major concern (1). In particular, it is well known that idle listening of the radio causes significant waste of energy; a power management technique (2) to deal with this problem is to switch to the lower energy consumption SLEEP mode during idle times. The effectiveness of this technique depends on (i) the duration of idle times (ii) the power consumption and performance characteristics of the sensor node and (iii) the sleep schedule/algorithm. A significant body of work focuses today on developing sleep schedules to meet energy and performance requirements. A class of simple, thus easy to implement, algorithms can be based on timeouts: nodes switch from ON to SLEEP, when the radio has been idle for longer than a Timeout period; clearly, the choice of Timeout becomes a critical parameter. In this extended abstract, we propose and analyze fixed timeout algo- rithms for a single sensor node, to minimize energy consumption. First, we consider the case that nothing is known about the duration of idle times; we choose a fixed timeout based on the power consumption characteristics of the node, and we prove that the energy consumed by this fixed timeout algorithm is at most twice the energy consumed by an offline algorithm. Second, we consider that the distribution of idle times is known and we show how to choose a fixed timeout value so as to minimize the average energy consumption; as a concrete example, we analyze the interesting case of Poisson packet arrivals. We are currently working on several extensions of this WIP, including (i) adaptive timeouts (ii) network-wide algorithms and (iii) performance metrics such as delay and connectivity." @default.
- W13703313 created "2016-06-24" @default.
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- W13703313 date "2005-01-01" @default.
- W13703313 modified "2023-09-27" @default.
- W13703313 title "Optimizing Timeout-Based Sleep Algorithms" @default.
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