Energy efficient WSN: a cross-layer graph signal processing solution to information redundancy

Alessandro Chiumento, Nicola Marchetti, Irene Macaluso

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
3 Downloads (Pure)

Abstract

In this work an iterative solution to build a network lifetime-preserving sampling strategy for WSNs is presented. The paper describes the necessary steps to reconstruct a graph from application data. Once the graph structure is obtained, a sampling strategy aimed at finding the smallest number of concurrent sensors needed to reconstruct the data in the unsampled nodes within a specific error bound, is presented. An iterative method then divides the sensor nodes into sets to be sampled sequentially to increase lifetime. Results on a real-life dataset show that the reconstruction RMSE can be easily traded off for a larger number of disjoint sampling sets which improve the network lifetime linearly.
Original languageEnglish
Title of host publication2019 16th International Symposium on Wireless Communication Systems (ISWCS)
Pages645-650
Number of pages6
ISBN (Electronic)978-1-7281-2527-5
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event16th International Symposium on Wireless Communication Systems ISWCS 2019 - Oulu, Finland
Duration: 27 Aug 201930 Aug 2019
Conference number: 16

Conference

Conference16th International Symposium on Wireless Communication Systems ISWCS 2019
Abbreviated titleISWCS 2019
CountryFinland
CityOulu
Period27/08/1930/08/19

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