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Demo: Distributed MaxRS in Wireless Sensor Networks

Authors:

Muhammed Mas-ud Hussain,

Panitan Wongse-ammat,

Goce TrajcevskiAuthors Info & Claims

SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Pages 479 - 480

https://doi.org/10.1145/2809695.2817863

Published: 01 November 2015 Publication History

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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 user-specified time-interval γ 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.

References

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B. Avci, B. Zhang, M. M. Hussain, and G. Trajcevski. Evolving shapes in wireless sensor networks. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, pages 320--321. ACM, 2014.

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Cited By

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Mas-ud Hussain MMostafiz MMahmud STrajcevski GEunus Ali M(2020)Conditional MaxRS Query for Evolving Spatial DataFrontiers in Big Data10.3389/fdata.2020.000203Online publication date: 19-Jun-2020
https://doi.org/10.3389/fdata.2020.00020
Mostafiz MMahmud SHussain MAli MTrajcevski GChoudhary AWu KDong B(2017)Class-based Conditional MaxRS Query in Spatial Data StreamsProceedings of the 29th International Conference on Scientific and Statistical Database Management10.1145/3085504.3085517(1-12)Online publication date: 27-Jun-2017
https://dl.acm.org/doi/10.1145/3085504.3085517

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Demo: Distributed MaxRS in Wireless Sensor Networks

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Information

Published In

SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

November 2015

526 pages

ISBN:9781450336314

DOI:10.1145/2809695

General Chair:
Junehwa Song
KAIST, South Korea
,
Program Chairs:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign, USA
,
Cecilia Mascolo
University of Cambridge, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2015

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Demonstration

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SenSys '15

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SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems

November 1 - 4, 2015

Seoul, South Korea

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SenSys '15 Paper Acceptance Rate 27 of 132 submissions, 20%;

Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

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Mas-ud Hussain MMostafiz MMahmud STrajcevski GEunus Ali M(2020)Conditional MaxRS Query for Evolving Spatial DataFrontiers in Big Data10.3389/fdata.2020.000203Online publication date: 19-Jun-2020
https://doi.org/10.3389/fdata.2020.00020
Mostafiz MMahmud SHussain MAli MTrajcevski GChoudhary AWu KDong B(2017)Class-based Conditional MaxRS Query in Spatial Data StreamsProceedings of the 29th International Conference on Scientific and Statistical Database Management10.1145/3085504.3085517(1-12)Online publication date: 27-Jun-2017
https://dl.acm.org/doi/10.1145/3085504.3085517

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Message-efficient in-network location management in a multisink wireless sensor network

An Energy Conservation MAC Protocol in Wireless Sensor Networks