Utility-based joint sensor selection and congestion control for task-oriented WSNs

Hosam Rowaihy; Matthew P. Johnson; Sharanya Eswaran; Diego Pizzocaro; Amotz Bar-Noy; Thomas La Porta; Archan Misra; Alun Preece

doi:10.1109/ACSSC.2008.5074598

Utility-based joint sensor selection and congestion control for task-oriented WSNs

Hosam Rowaihy
, Matthew P. Johnson
, Sharanya Eswaran
, Diego Pizzocaro
, Amotz Bar-Noy
, Thomas La Porta
, Archan Misra
, Alun Preece

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

7 Scopus citations

Abstract

Task-centric wireless sensor network environments are often characterized by the simultaneous operation of multiple tasks. Individual tasks compete for constrained resources and thus need resource mediation algorithms at two levels. First, different sensors must be allocated to different tasks based on the combination of sensor attributes and task requirements. Subsequently, sensor data rates on various data routes must be dynamically adapted to share the available wireless bandwidth, especially when links experience traffic congestion. In this paper we investigate heuristics for incrementally modifying the sensortask matching process to incorporate changes in the transport capacity constraints or feasible task utility values.

Original language	English (US)
Title of host publication	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages	1165-1169
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2008.5074598
State	Published - 2008
Event	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States Duration: Oct 26 2008 → Oct 29 2008

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Country/Territory	United States
City	Pacific Grove, CA
Period	10/26/08 → 10/29/08

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2008.5074598

Cite this

Rowaihy, H., Johnson, M. P., Eswaran, S., Pizzocaro, D., Bar-Noy, A., Porta, T. L., Misra, A., & Preece, A. (2008). Utility-based joint sensor selection and congestion control for task-oriented WSNs. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 (pp. 1165-1169). Article 5074598 (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2008.5074598

@inproceedings{14c5618cd82c48eba5f8c69d6ffff3ed,

title = "Utility-based joint sensor selection and congestion control for task-oriented WSNs",

abstract = "Task-centric wireless sensor network environments are often characterized by the simultaneous operation of multiple tasks. Individual tasks compete for constrained resources and thus need resource mediation algorithms at two levels. First, different sensors must be allocated to different tasks based on the combination of sensor attributes and task requirements. Subsequently, sensor data rates on various data routes must be dynamically adapted to share the available wireless bandwidth, especially when links experience traffic congestion. In this paper we investigate heuristics for incrementally modifying the sensortask matching process to incorporate changes in the transport capacity constraints or feasible task utility values.",

author = "Hosam Rowaihy and Johnson, \{Matthew P.\} and Sharanya Eswaran and Diego Pizzocaro and Amotz Bar-Noy and Porta, \{Thomas La\} and Archan Misra and Alun Preece",

year = "2008",

doi = "10.1109/ACSSC.2008.5074598",

language = "English (US)",

isbn = "9781424429417",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

pages = "1165--1169",

booktitle = "2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008",

note = "2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 ; Conference date: 26-10-2008 Through 29-10-2008",

}

Rowaihy, H, Johnson, MP, Eswaran, S, Pizzocaro, D, Bar-Noy, A, Porta, TL, Misra, A & Preece, A 2008, Utility-based joint sensor selection and congestion control for task-oriented WSNs. in 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008., 5074598, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1165-1169, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008, Pacific Grove, CA, United States, 10/26/08. https://doi.org/10.1109/ACSSC.2008.5074598

Utility-based joint sensor selection and congestion control for task-oriented WSNs. / Rowaihy, Hosam; Johnson, Matthew P.; Eswaran, Sharanya et al.
2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008. 2008. p. 1165-1169 5074598 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

TY - GEN

T1 - Utility-based joint sensor selection and congestion control for task-oriented WSNs

AU - Rowaihy, Hosam

AU - Johnson, Matthew P.

AU - Eswaran, Sharanya

AU - Pizzocaro, Diego

AU - Bar-Noy, Amotz

AU - Porta, Thomas La

AU - Misra, Archan

AU - Preece, Alun

PY - 2008

Y1 - 2008

N2 - Task-centric wireless sensor network environments are often characterized by the simultaneous operation of multiple tasks. Individual tasks compete for constrained resources and thus need resource mediation algorithms at two levels. First, different sensors must be allocated to different tasks based on the combination of sensor attributes and task requirements. Subsequently, sensor data rates on various data routes must be dynamically adapted to share the available wireless bandwidth, especially when links experience traffic congestion. In this paper we investigate heuristics for incrementally modifying the sensortask matching process to incorporate changes in the transport capacity constraints or feasible task utility values.

AB - Task-centric wireless sensor network environments are often characterized by the simultaneous operation of multiple tasks. Individual tasks compete for constrained resources and thus need resource mediation algorithms at two levels. First, different sensors must be allocated to different tasks based on the combination of sensor attributes and task requirements. Subsequently, sensor data rates on various data routes must be dynamically adapted to share the available wireless bandwidth, especially when links experience traffic congestion. In this paper we investigate heuristics for incrementally modifying the sensortask matching process to incorporate changes in the transport capacity constraints or feasible task utility values.

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UR - https://www.scopus.com/pages/publications/70349664190#tab=citedBy

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DO - 10.1109/ACSSC.2008.5074598

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T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 1165

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BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008

T2 - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008

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ER -

Rowaihy H, Johnson MP, Eswaran S, Pizzocaro D, Bar-Noy A, Porta TL et al. Utility-based joint sensor selection and congestion control for task-oriented WSNs. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008. 2008. p. 1165-1169. 5074598. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2008.5074598

Utility-based joint sensor selection and congestion control for task-oriented WSNs

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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