Topology management for sensor networks

Schurgers, Curt; Tsiatsis, Vlasios; Ganeriwal, Saurabh; Srivastava, Mani

doi:10.1145/513814.513817

Cited by 114 publications

(99 citation statements)

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“…Reactive solutions [7], [8], [15], [11], [16] choose nodes that should be awake based on communication patterns or active routing needs. The goal of these protocols is to minimize the number of nodes that are awake and not actively forwarding data in the network.…”

Section: A Sleep Cyclingmentioning

confidence: 99%

“…Most of these schemes use some type of low duty cycle wakeup for nodes to listen for incoming transmissions [7], [8], [15].…”

Section: A Sleep Cyclingmentioning

confidence: 99%

“…Let the beacon be of length B and the inter-beacon time be B l (the receiver must respond in this time). Schurgers et al [7], show that the average time a sender will spend sending beacons (T b ) is as follows:…”

Section: A Sleep Cyclingmentioning

confidence: 99%

“…solutions have been devised [3], [4], [5], [6], [7], [8], [9], [10], [11] to conserve energy during times of no communication. It is natural to attempt to use these same methods for energy conservation in underwater sensor networks.…”

mentioning

confidence: 99%

“…The baseline is a protocol that uses no sleep or wakeup state during idle times. The other three protocols are an optimal sleep protocol, our proposed wakeup mode protocol, and STEM [7] (a sleep cycling protocol that does not require synchronization). There are two essential metrics that can be used to evaluate sensor network performance in terms of energy efficiency.…”

mentioning

confidence: 99%

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Idle-time energy savings through wake-up modes in underwater acoustic networks

2009

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Interest in underwater sensor networks has increased recently due to the possibility of using autonomous underwater vehicles and sensors to explore the oceans and monitor underwater equipment. Such networks, due to the need for long term deployments, must be energy efficient, like their terrestrial counterparts. However, there are fundamental differences between radio interfaces and acoustic modems, both in terms of achievable performance (e.g., bit rate and latency) and in terms of energy consumption (i.e., transmit power, receive power, sleep power, etc.). These differences may cause techniques that are highly effective for radios to perform poorly in acoustic scenarios. This paper considers asynchronous idle-time power management techniques and the effects of acoustic modem properties on the optimal solutions. Specifically, we compare two main techniques, a sleep cycling solution and a wakeup mode solution. We show that for traffic rates of greater than one packet every few hours, using a wakeup mode may be the most efficient way to save energy.

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Section: A Sleep Cyclingmentioning

confidence: 99%

“…Most of these schemes use some type of low duty cycle wakeup for nodes to listen for incoming transmissions [7], [8], [15].…”

Section: A Sleep Cyclingmentioning

confidence: 99%

Section: A Sleep Cyclingmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Idle-time energy savings through wake-up modes in underwater acoustic networks

2009

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Energy Awareness and Efficiency in Wireless Sensor Networks: From Physical Devices to the Communication Link

Zomaya

Lee

2012

Energy‐Efficient Distributed Computing Systems

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Flexible and energy‐efficient duty cycling in wireless networks with MacZ

Christmann

Gotzhein

Krämer

et al. 2012

Concurrency and Computation

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SUMMARYIn wireless networks formed of battery‐powered nodes, energy consumption is a major concern. On the communication side, energy can be saved by switching transceivers to idle or power‐down mode when not needed. To this end, duty cycling protocols located at medium access control level have been devised. These protocols have in common that they define modified carrier sense multiple access with collision avoidance schemes and that they assume the availability of some time synchronization mechanism. This strongly limits their potential to reduce energy consumption, as well as their flexibility regarding activity phases. In this paper, we propose a more flexible and energy‐efficient solution for duty cycling, which is based on our experimental wireless medium access control protocol MacZ. Flexibility is strengthened by the possibility to define weakly periodic activity periods. Energy efficiency is improved by the possibility to assign exclusive transmission slots, thereby switching transceivers to active mode only when needed. Both measures are supported by an underlying protocol for accurate, deterministic tick and time synchronization. We assess our solution and compare it to well‐known duty cycling protocols on the basis of real‐life scenarios. Copyright © 2012 John Wiley & Sons, Ltd.

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Topology management for sensor networks

Cited by 114 publications

References 0 publications

Idle-time energy savings through wake-up modes in underwater acoustic networks

Idle-time energy savings through wake-up modes in underwater acoustic networks

Energy Awareness and Efficiency in Wireless Sensor Networks: From Physical Devices to the Communication Link

Flexible and energy‐efficient duty cycling in wireless networks with MacZ

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