Energy-Efficient Timing Assignment of Tasks to Actors in WSANs

Minimizing make-span and maximizing remaining energy are usually of chief importance in the applications of wireless sensor actor networks (WSANs). Current task assignment approaches are typically concerned with one of the timing or energy constraints. These approaches do not consider the types and...

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of Artificial Intelligence and Data Mining
المؤلفون الرئيسيون: M. R. Okhovvat, M. T. Kheirabadi, A. Nodehi, M. Okhovvat
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Shahrood University of Technology 2022-07-01
الموضوعات:
الوصول للمادة أونلاين:https://jad.shahroodut.ac.ir/article_2458_637418c566f03552e4b96c1a619196ba.pdf
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author M. R. Okhovvat
M. T. Kheirabadi
A. Nodehi
M. Okhovvat
author_facet M. R. Okhovvat
M. T. Kheirabadi
A. Nodehi
M. Okhovvat
author_sort M. R. Okhovvat
collection DOAJ
container_title Journal of Artificial Intelligence and Data Mining
description Minimizing make-span and maximizing remaining energy are usually of chief importance in the applications of wireless sensor actor networks (WSANs). Current task assignment approaches are typically concerned with one of the timing or energy constraints. These approaches do not consider the types and various features of tasks WSANs may need to perform and thus may not be applicable to some types of real applications such as search and rescue missions. To this end, an optimized and type aware task assignment approach called TATA is proposed that considers the energy consumption as well as the make-span. TATA is an optimized task assignment approach and aware of the distribution necessities of WSANs with hybrid architecture. TATA comprises of two protocols, namely a Make-span Calculation Protocol (MaSC) and an Energy Consumption Calculation Protocol (ECal). Through considering both time and energy, TATA makes a tradeoff between minimizing make-span and maximizing the residual energies of actors. A series of extensive simulation results on typical scenarios show shorter make-span and larger remaining energy in comparison to when stochastic task assignment (STA), opportunistic load balancing (OLB), and task assignment algorithm based on quasi-Newton interior point (TA-QNIP) approaches is applied.
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spelling doaj-art-e3daef03166b4a318fa00f79a81235332025-08-20T01:28:08ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442022-07-0110330331010.22044/jadm.2022.11783.23252458Energy-Efficient Timing Assignment of Tasks to Actors in WSANsM. R. Okhovvat0M. T. Kheirabadi1A. Nodehi2M. Okhovvat3Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran.Minimizing make-span and maximizing remaining energy are usually of chief importance in the applications of wireless sensor actor networks (WSANs). Current task assignment approaches are typically concerned with one of the timing or energy constraints. These approaches do not consider the types and various features of tasks WSANs may need to perform and thus may not be applicable to some types of real applications such as search and rescue missions. To this end, an optimized and type aware task assignment approach called TATA is proposed that considers the energy consumption as well as the make-span. TATA is an optimized task assignment approach and aware of the distribution necessities of WSANs with hybrid architecture. TATA comprises of two protocols, namely a Make-span Calculation Protocol (MaSC) and an Energy Consumption Calculation Protocol (ECal). Through considering both time and energy, TATA makes a tradeoff between minimizing make-span and maximizing the residual energies of actors. A series of extensive simulation results on typical scenarios show shorter make-span and larger remaining energy in comparison to when stochastic task assignment (STA), opportunistic load balancing (OLB), and task assignment algorithm based on quasi-Newton interior point (TA-QNIP) approaches is applied.https://jad.shahroodut.ac.ir/article_2458_637418c566f03552e4b96c1a619196ba.pdfenergy consumptionmake-spantask assignmentwireless sensor actor networks
spellingShingle M. R. Okhovvat
M. T. Kheirabadi
A. Nodehi
M. Okhovvat
Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
energy consumption
make-span
task assignment
wireless sensor actor networks
title Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
title_full Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
title_fullStr Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
title_full_unstemmed Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
title_short Energy-Efficient Timing Assignment of Tasks to Actors in WSANs
title_sort energy efficient timing assignment of tasks to actors in wsans
topic energy consumption
make-span
task assignment
wireless sensor actor networks
url https://jad.shahroodut.ac.ir/article_2458_637418c566f03552e4b96c1a619196ba.pdf
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AT anodehi energyefficienttimingassignmentoftaskstoactorsinwsans
AT mokhovvat energyefficienttimingassignmentoftaskstoactorsinwsans