N. H. Bidoki, M. B. Baghdadabad, G. R. Sukthankar, and D. Turgut

Joint Value of Information and Energy Aware Sleep Scheduling in Wireless Sensor Networks: A Linear Programming Approach


Cite as:

N. H. Bidoki, M. B. Baghdadabad, G. R. Sukthankar, and D. Turgut. Joint Value of Information and Energy Aware Sleep Scheduling in Wireless Sensor Networks: A Linear Programming Approach. In IEEE ICC'18, pp. 1–6, May 2018.

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Abstract:

We consider wireless sensor networks that nodes offload data to a central collector node (sink) via wireless communication. Sensed data are associated with a value, decaying in time. In this scenario, we address the problem of finding the path of sensed data so that the Value of Information (VoI) of the data delivered to a sink is maximized while keeping energy usage as low as possible. Sleep scheduling is a widely used technique in MAC-layer to reduce unnecessary idle energy consumption in WSN; however, when it is carried out without paying attention to network-layer routing, it may adversely affect sensed data value of information. In this paper, we employ linear programming (LP) to establish a paradigm of cross-layer formulation to capture the interplay between scheduling and routing. We propose a biobjective model of data value of information maximization and energy cost minimization in a WSN. Compared to existing work, our formulation is not only bi-objective which considers both data value of information and energy consumption jointly, but also is more realistic given that it explicitly accounts for different types of signal interference that may affect a wireless transmission.

BibTeX:

@inproceedings{Bidoki-2018-ICC,
   author = "N. H. Bidoki and M. B. Baghdadabad and G. R. Sukthankar and D. Turgut",
   title = "Joint Value of Information and Energy Aware Sleep Scheduling in Wireless Sensor Networks: A Linear Programming Approach",
   booktitle = "IEEE ICC'18",
   pages = "1-6",
   month = "May",
   year = "2018",
     abstract = {We consider wireless sensor networks that nodes offload data to a central collector node (sink) via wireless communication. Sensed data are associated with a value, decaying in time. In this scenario, we address the problem of finding the path of sensed data so that the Value of Information (VoI) of the data delivered to a sink is maximized while keeping energy usage as low as possible. Sleep scheduling is a widely used technique in MAC-layer to reduce unnecessary idle energy consumption in WSN; however, when it is carried out without paying attention to network-layer routing, it may adversely affect sensed data value of information. In this paper, we employ linear programming (LP) to establish a paradigm of cross-layer formulation to capture the interplay between scheduling and routing. We propose a biobjective model of data value of information maximization and energy cost minimization in a WSN. Compared to existing work, our formulation is not only bi-objective which considers both data value of information and energy consumption jointly, but also is more realistic given that it explicitly accounts for different types of signal interference that may affect a wireless transmission. },
}

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