Optimal collaborative sensing scheduling with energy harvesting nodes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we consider a collaborative sensing scenario where sensing nodes are powered by energy harvested from environment. We assume that in each time slot, the utility generated by sensing nodes is a function of the number of the active sensing nodes in that slot. Under the energy causality constraint at every sensor, our objective is to develop a collaborative sensing scheduling for the sensors such that the time average utility is maximized. We consider an offline setting, where the energy harvesting profile over duration [0; T-1] for each sensor is known beforehand. Under the assumption that the utility function is concave over i+, we first propose an algorithm to identify the number of active sensors in each slot. The obtained scheduling structure has a 'majorization' property. We then propose a procedure to construct a collaborative sensing policy with the identified structure. The obtained sensing scheduling is proved to be optimal.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages395-398
Number of pages4
DOIs
Publication statusPublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

Cite this

Yang, J. (2013). Optimal collaborative sensing scheduling with energy harvesting nodes. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 395-398). [6736898] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736898