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Energy efficient monitoring of water distribution networks via compressive sensing
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik.ORCID-id: 0000-0002-1934-9208
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik.
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik.ORCID-id: 0000-0001-9810-3478
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0002-5407-0835
2015 (engelsk)Inngår i: 2015 IEEE International Conference on Communications (ICC), IEEE conference proceedings, 2015, Vol. 2015, s. 6681-6686Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The recent development of low cost wireless sensors enables water monitoring through dense wireless sensor networks (WSN). Sensor nodes are battery powered devices, and hence their limited energy resources have to be optimally managed. The latest advancements in compressive sensing (CS) provide ample promise to increase WSNs lifetime by limiting the amount of measurements that have to be collected. Additional energy savings can be achieved through CS-based scheduling schemes that activate only a limited number of sensors to sense and transmit their measurements, whereas the rest are turned off. The ultimate objective is to maximize network lifetime without sacrificing network connectivity and monitoring performance. This problem can be approximated by an energy balancing approach that consists of multiple simpler subproblems, each of which corresponds to a specific time period. Then, the sensors that should be activated within a given period can be optimally derived through dynamic programming. The complexity of the proposed CS-based scheduling scheme is characterized and numerical evaluation reveals that it achieves comparable monitoring performance by activating only a fraction of the sensors.

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IEEE conference proceedings, 2015. Vol. 2015, s. 6681-6686
Serie
IEEE International Conference on Communications, ISSN 1550-3607
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-165840DOI: 10.1109/ICC.2015.7249390ISI: 000371708106148Scopus ID: 2-s2.0-84953790048ISBN: 978-1-4673-6432-4 (tryckt)OAI: oai:DiVA.org:kth-165840DiVA, id: diva2:808906
Konferanse
IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 8 June 2015 through 12 June 2015
Merknad

QC 20151104

Tilgjengelig fra: 2015-04-29 Laget: 2015-04-29 Sist oppdatert: 2016-04-21bibliografisk kontrollert

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