Toward Adaptive Sleep Schedules for Balancing Energy Consumption in Wireless Sensor Networks

AbdelSalam, Hady S.; Olariu, Stephan

doi:10.1109/tc.2011.157

Cited by 25 publications

(21 citation statements)

References 16 publications

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“…To promote network longevity, sensors alternate between sleep and awake periods [1,11]. In the sleep state, the sensors turn off their radio interfaces.…”

Section: The Sensor Modelmentioning

confidence: 99%

“…Importantly, sensor synchronization is expensive and energy-consuming and, consequently, the sensors are assumed to be asynchronous. Recently, AbdelSalam and Olariu showed that despite sensors being asynchronous, there are important common stochastic properties of their behavior [1]. Sleeping sensors are inactive and their presence reduces the Effective Sensor Density, which is the density of active sensors.…”

Section: The Sensor Modelmentioning

confidence: 99%

“…The convolution C = A + S is the length of a whole cycle that is repeated over the entire lifetime of the sensor. Inspired by [1], we assume that A and S are random variables with finite expectation. We define event observation time by a sensor as our metric for information collection about an event.…”

Section: The Sensor Modelmentioning

confidence: 99%

“…The idea is based on external versus local view to event's arrival and can be modeled by the classic Poisson Arrival See Time Averages (PASTA), as shown by AbdelSalam and Olariu [1]. The PASTA property guarantees that the busy percentage for an external observer matches the local view.…”

Section: Guidelines For Selecting a And Cmentioning

confidence: 99%

“…The PASTA property guarantees that the busy percentage for an external observer matches the local view. In observing the events from the viewpoint of a sensor that has sleep and awake periods, AbdelSalam and Olariu [1] showed, using a simple renewal theory argument, that the probability of finding a sensor in the awake state is…”

Section: Guidelines For Selecting a And Cmentioning

confidence: 99%

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A framework for assessing the quality of event detection in sensor networks

Mohrehkesh

Olariu

Weigle

2013

Proceedings of the 2nd ACM Annual International Workshop on Mission-Oriented Wireless Sensor Networking

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Despite the multitude of protocols that have been designed for event monitoring in sensor networks, very little work has been devoted to assessing the quality of these protocols in terms of their ability to provide timely and accurate information about events. The problem is challenging because of the combined effects of the stochastic nature of event arrival and duration and the stochastic nature of a sensor's sleepawake schedule. These various stochastic processes need to be modelled jointly in order to be able to reason, with any degree of confidence, about the quality of the event detection. The main contribution of this paper is a framework for assessing our confidence about the occurrence of events in sensor networks. Our framework models the interaction between the stochastic nature of an event arrival, the event duration, and the sensor sleep/awake schedule. By employing our framework, it is possible to configure individual sensor duty cycles to meet the requirements of mission-oriented applications in terms of timely and accurate information about events of interest.

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“…To promote network longevity, sensors alternate between sleep and awake periods [1,11]. In the sleep state, the sensors turn off their radio interfaces.…”

Section: The Sensor Modelmentioning

confidence: 99%

Section: The Sensor Modelmentioning

confidence: 99%

Section: The Sensor Modelmentioning

confidence: 99%

Section: Guidelines For Selecting a And Cmentioning

confidence: 99%

Section: Guidelines For Selecting a And Cmentioning

confidence: 99%

See 3 more Smart Citations

A framework for assessing the quality of event detection in sensor networks

Mohrehkesh

Olariu

Weigle

2013

Proceedings of the 2nd ACM Annual International Workshop on Mission-Oriented Wireless Sensor Networking

Self Cite

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A game theoretic approach to balancing energy consumption in heterogeneous wireless sensor networks

Lin

Kwok

Wang

et al. 2012

Wirel. Commun. Mob. Comput.

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Energy balancing is an effective technique in enhancing the lifetime of a wireless sensor network (WSN). Specifically, balancing the energy consumption among sensors can prevent losing some critical sensors prematurely due to energy exhaustion so that the WSN's coverage can be maintained. However, the heterogeneous hostile operating conditions—different transmission distances, varying fading environments, and distinct residual energy levels—have made energy balancing a highly challenging task. A key issue in energy balancing is to maintain a certain level of energy fairness in the whole WSN. To achieve energy fairness, the transmission load should be allocated among sensors such that, regardless of a sensor's working conditions, no sensor node should be unfairly overburdened. In this paper, we model the transmission load assignment in WSN as a game. With our novel utility function that can capture realistic sensors’ behaviors, we have derived the Nash equilibrium (NE) of the energy balancing game. Most importantly, under the NE, while each sensor can maximize its own payoff, the global objective of energy balancing can also be achieved. Moreover, by incorporating a penalty mechanism, the delivery rate and delay constraints imposed by the WSN application can be satisfied. Through extensive simulations, our game theoretic approach is shown to be effective in that adequate energy balancing is achieved and, consequently, network lifetime is significantly enhanced. Copyright © 2012 John Wiley & Sons, Ltd.

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