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Data quality maximization in sensor networks with a mobile sink

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper we consider a wireless sensor network with a mobile sink moving along a fixed trajectory without stop to collect data. We assume that a few powerful and high-capacity sensors deployed nearby the trajectory are the gateways, which are able to communicate with the sink directly when the sink is within their transmission ranges. Gateways play the role of relay nodes for the other sensors in the network. We also assume that the time of data uploading from the gateways to the mobile sink is limited. Thus, data from only a subset of sensors, called packet nodes, can be collected and used to estimate those of the others. The data quality is measured by the estimation accuracy. The upper bound on the number of packet nodes for a gateway is defined as the gateway quota. We formulate the optimization problem with the objective to identify the set of packet nodes, allocate them to gateways subject to gateway quotas, and devise an energy-efficient routing protocol, such that the sink can efficiently collect data generated from packet nodes with the maximum quality. Due to the NP-hardness of this problem, we propose a heuristic with low computation complexity. We also conduct extensive experiments by simulation to evaluate the performance of the proposed heuristic. © 2011 IEEE.
Original languageEnglish
Title of host publication2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event7th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS'11 - Barcelona, Spain
Duration: 27 Jun 201129 Jun 2011

Publication series

Name2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11

Conference

Conference7th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS'11
PlaceSpain
CityBarcelona
Period27/06/1129/06/11

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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