Resource determination and allocation in sensor networks: a hybrid approach

Murat Sensoy (Corresponding Author), Thao Le, Wamberto W Vasconcelos, Timothy J Norman, Alun D Preece

Research output: Contribution to journal › Article

8 Citations (Scopus)

Abstract

Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increases, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, we propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, we propose a distributed agent-based approach to efficiently allocate sensor resources to tasks. Our evaluation of the proposed approach shows that not only it enables fully automated determination and allocation of resources for tasks, but also the resulting allocation is efficient and close to optimum.
Original languageEnglish
Pages (from-to)356-372
Number of pages17
JournalThe Computer Journal
Volume54
Issue number3
Early online date22 Feb 2010
DOIs
Publication statusPublished - 3 Mar 2011

Fingerprint

Sensor networks
Software agents
Sensors
Semantics

Keywords

  • sensor networks
  • semantic web
  • resource allocation
  • multiagent systems

Cite this

Resource determination and allocation in sensor networks : a hybrid approach. / Sensoy, Murat (Corresponding Author); Le, Thao; Vasconcelos, Wamberto W; Norman, Timothy J; Preece, Alun D.

In: The Computer Journal, Vol. 54, No. 3, 03.03.2011, p. 356-372.

Research output: Contribution to journal › Article

Sensoy, M, Le, T, Vasconcelos, WW, Norman, TJ & Preece, AD 2011, 'Resource determination and allocation in sensor networks: a hybrid approach', The Computer Journal, vol. 54, no. 3, pp. 356-372. https://doi.org/10.1093/comjnl/bxq015
Sensoy M, Le T, Vasconcelos WW, Norman TJ, Preece AD. Resource determination and allocation in sensor networks: a hybrid approach. The Computer Journal. 2011 Mar 3;54(3):356-372. https://doi.org/10.1093/comjnl/bxq015
Sensoy, Murat ; Le, Thao ; Vasconcelos, Wamberto W ; Norman, Timothy J ; Preece, Alun D. / Resource determination and allocation in sensor networks : a hybrid approach. In: The Computer Journal. 2011 ; Vol. 54, No. 3. pp. 356-372.
@article{d77a37112c69480995d56d05c85487b9,
title = "Resource determination and allocation in sensor networks: a hybrid approach",
abstract = "Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increases, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, we propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, we propose a distributed agent-based approach to efficiently allocate sensor resources to tasks. Our evaluation of the proposed approach shows that not only it enables fully automated determination and allocation of resources for tasks, but also the resulting allocation is efficient and close to optimum.",
keywords = "sensor networks, semantic web, resource allocation, multiagent systems",
author = "Murat Sensoy and Thao Le and Vasconcelos, {Wamberto W} and Norman, {Timothy J} and Preece, {Alun D}",
year = "2011",
month = "3",
day = "3",
doi = "10.1093/comjnl/bxq015",
language = "English",
volume = "54",
pages = "356--372",
journal = "The Computer Journal",
issn = "0010-4620",
publisher = "Oxford University Press",
number = "3",

}

TY - JOUR

T1 - Resource determination and allocation in sensor networks

T2 - a hybrid approach

AU - Sensoy, Murat

AU - Le, Thao

AU - Vasconcelos, Wamberto W

AU - Norman, Timothy J

AU - Preece, Alun D

PY - 2011/3/3

Y1 - 2011/3/3

N2 - Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increases, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, we propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, we propose a distributed agent-based approach to efficiently allocate sensor resources to tasks. Our evaluation of the proposed approach shows that not only it enables fully automated determination and allocation of resources for tasks, but also the resulting allocation is efficient and close to optimum.

AB - Many organizations depend on critical sensory information to achieve their tasks. As the number of those tasks increases, efficient determination and allocation of required resources in sensor networks become crucial. In this paper, we propose means to describe tasks semantically with their requirements and constraints so that software agents can reason about those tasks and determine what type of sensor resources they may need. Based on the semantic description and reasoning mechanisms, we propose a distributed agent-based approach to efficiently allocate sensor resources to tasks. Our evaluation of the proposed approach shows that not only it enables fully automated determination and allocation of resources for tasks, but also the resulting allocation is efficient and close to optimum.

KW - sensor networks

KW - semantic web

KW - resource allocation

KW - multiagent systems

U2 - 10.1093/comjnl/bxq015

DO - 10.1093/comjnl/bxq015

M3 - Article

VL - 54

SP - 356

EP - 372

JO - The Computer Journal

JF - The Computer Journal

SN - 0010-4620

IS - 3

ER -

Access to Document