Joint Value Of Information And Energy Aware Sleep Scheduling In Wireless Sensor Networks: A Linear Programming Approach

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.

Publication Date

7-27-2018

Publication Title

IEEE International Conference on Communications

Volume

2018-May

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICC.2018.8422392

Socpus ID

85051442298 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85051442298

This document is currently not available here.

Share

COinS