Optimal Dynamic Activation Policies in Sensor Networks

Banerjee, Taposh; Padhy, Smruti; Kherani, Arzad A.

doi:10.1109/comswa.2007.382435

Cited by 8 publications

(11 citation statements)

References 7 publications

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“…Optimal activation of nodes in redundantly deployed sensor networks has been studied before in [5], [11]. A thresholdbased activation policy was shown to perform close to the optimal policy for dynamic node activation in [5].…”

Section: Related Workmentioning

confidence: 99%

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Optimal Activation and Transmission Control in Delay Tolerant Networks

Altman

Azad

Baoar³

et al. 2010

2010 Proceedings IEEE INFOCOM

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Abstract-Much research has been devoted to maximize the life time of mobile ad-hoc networks. Life time has often been defined as the time elapsed until the first node is out of battery power. In the context of static networks, this could lead to disconnectivity. In contrast, Delay Tolerant Networks (DTNs) leverage the mobility of relay nodes to compensate for lack of permanent connectivity, and thus enable communication even after some nodes deplete their stored energy. One can thus consider the lifetimes of nodes as some additional parameters that can be controlled to optimize the performance of a DTN. In this paper, we consider two ways in which the energy state of a mobile can be controlled. Both listening and transmission require energy, besides each of these has a different type of effect on the network performance. Therefore we consider a joint optimization problem consisting of: i) activation, which determines when a mobile will turn on in order to receive packets, and ii) transmission control, which regulates the beaconing. The optimal solutions are shown to be of the threshold type. The findings are validated through extensive simulations.

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Section: Related Workmentioning

confidence: 99%

“…A thresholdbased activation policy was shown to perform close to the optimal policy for dynamic node activation in [5]. Scheduling/controlling the activity nodes to exploit energy harvesting features has been studied in [11].…”

Section: Related Workmentioning

confidence: 99%

Optimal Activation and Transmission Control in Delay Tolerant Networks

Altman

Azad

Baoar³

et al. 2010

2010 Proceedings IEEE INFOCOM

View full text Add to dashboard Cite

show abstract

“…Optimal activation of nodes in redundantly deployed sensor networks has been studied before in [9]- [11]. A thresholdbased activation policy was shown to perform close to the optimal policy for dynamic node activation in [9].…”

Section: Related Literaturementioning

confidence: 99%

“…In [10], spatial temporal correlation has been exploited to improve usable lifetime in environmentally powered sensor networks. Scheduling/controlling the activity nodes to exploit energy harvesting features has been studied in [11].…”

Section: Related Literaturementioning

confidence: 99%

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Combined Optimal Control of Activation and Transmission in Delay-Tolerant Networks

Altman

Azad

Başar

et al. 2013

IEEE/ACM Trans. Networking

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Abstract-Performance of a delay tolerant network has strong dependence on the nodes participating in data transportation. Such networks often face several resource constraints especially related to energy. Energy is consumed not only in data transmission but also in listening and in several signaling activities. On one hand these activities enhance the system's performance while on the other hand, they consume significant amount of energy even when they do not involve actual node transmission. Accordingly, in order to use energy efficiently, one may have to limit not only the amount of transmissions but also the amount of nodes that are active at each time. Therefore we study two coupled problems: i) the activation problem which determines when a mobile will turn on in order to receive packets, and ii) the problem of regulating the beaconing. We derive optimal energy management strategies by formulating the problem as an optimal control one, which we then explicitly solve.We also validate our findings through extensive simulations which are based on contact traces.

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