Demo: Distributed MaxRS in Wireless Sensor Networks

Muhammed Mas Ud Hussain, Panitan Wongse-Ammat, Goce Trajcevski

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

4 Scopus citations

Abstract

This work presents a distributed implementation for processing Maximizing Range Sum (MaxRS) query in Wireless Sensor Networks (WSN). MaxRS query is useful in many spatially-distributed event monitoring and target tracking applications. Given the location and current readings of the nodes, and a rectangle R, MaxRS finds a location of R that maximizes the sum of the readings of all the nodes covered by R. Our system performs MaxRS query in a userspecified time-interval λ and using the result obtained, attempts to maintain a certain degree of energy conservation in the WSN, based on a user-defined threshold δ. Since centralized processing of the raw readings and subsequently determining the MaxRS may incur significant communication overheads, we developed a distributed algorithm to compute MaxRS. We implemented our system in a heterogeneous WSN consisting of TelosB and SunSPOT motes, and illustrate the end-user tools: GUI for specifying required parameters, and real-time visualization of MaxRS solutions and estimated network energy consumption.

Original languageEnglish (US)
Title of host publicationSenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages479-480
Number of pages2
ISBN (Electronic)9781450336314
DOIs
StatePublished - Nov 1 2015
Event13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of
Duration: Nov 1 2015Nov 4 2015

Publication series

NameSenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Other

Other13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
CountryKorea, Republic of
CitySeoul
Period11/1/1511/4/15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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