Demo: Distributed MaxRS in Wireless Sensor Networks

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

doi:10.1145/2809695.2817863

Demo: Distributed MaxRS in Wireless Sensor Networks

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

Master of Science in Machine Learning and Data Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 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 language	English (US)
Title of host publication	SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
Publisher	Association for Computing Machinery, Inc
Pages	479-480
Number of pages	2
ISBN (Electronic)	9781450336314
DOIs	https://doi.org/10.1145/2809695.2817863
State	Published - Nov 1 2015
Event	13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of Duration: Nov 1 2015 → Nov 4 2015

Publication series

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

Other

Other	13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	11/1/15 → 11/4/15

Funding

Research supported in part by NSF grants CNS-0910952 and III 1213038, and ONR grant N00014-14-1-0215.

ASJC Scopus subject areas

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

Access to Document

10.1145/2809695.2817863

Cite this

Hussain, M. M. U., Wongse-Ammat, P., & Trajcevski, G. (2015). Demo: Distributed MaxRS in Wireless Sensor Networks. In SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (pp. 479-480). (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/2809695.2817863

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title = "Demo: Distributed MaxRS in Wireless Sensor Networks",

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.",

author = "Hussain, {Muhammed Mas Ud} and Panitan Wongse-Ammat and Goce Trajcevski",

note = "Funding Information: Research supported in part by NSF grants CNS-0910952 and III 1213038, and ONR grant N00014-14-1-0215.; 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 ; Conference date: 01-11-2015 Through 04-11-2015",

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language = "English (US)",

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Hussain, MMU, Wongse-Ammat, P & Trajcevski, G 2015, Demo: Distributed MaxRS in Wireless Sensor Networks. in SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc, pp. 479-480, 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, Korea, Republic of, 11/1/15. https://doi.org/10.1145/2809695.2817863

Demo: Distributed MaxRS in Wireless Sensor Networks. / Hussain, Muhammed Mas Ud; Wongse-Ammat, Panitan; Trajcevski, Goce.
SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2015. p. 479-480 (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: Research supported in part by NSF grants CNS-0910952 and III 1213038, and ONR grant N00014-14-1-0215.

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N2 - 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.

AB - 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.

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Hussain MMU, Wongse-Ammat P, Trajcevski G. Demo: Distributed MaxRS in Wireless Sensor Networks. In SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc. 2015. p. 479-480. (SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems). doi: 10.1145/2809695.2817863

Demo: Distributed MaxRS in Wireless Sensor Networks

Abstract

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