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A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks

Mobile agent (MA), a part of the mobile computing paradigm, was recently proposed for data gathering in Wireless Sensor Networks (WSNs). The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary Planning (MIP) for energy-efficient data gathe...

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Main Authors: Q. Qadori, Huthiafa, Ahmad Zulkarnain, Zuriati, Mohd Hanapi, Zurina, Subramaniam, Shamala
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60738/1/A%20spawn%20mobile%20agent%20itinerary%20planning%20approach%20for%20energy-efficient%20data%20gathering%20in%20wireless%20sensor%20networks.pdf
http://psasir.upm.edu.my/id/eprint/60738/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492819/pdf/sensors-17-01280.pdf
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spelling my.upm.eprints.607382019-03-28T05:00:33Z http://psasir.upm.edu.my/id/eprint/60738/ A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks Q. Qadori, Huthiafa Ahmad Zulkarnain, Zuriati Mohd Hanapi, Zurina Subramaniam, Shamala Mobile agent (MA), a part of the mobile computing paradigm, was recently proposed for data gathering in Wireless Sensor Networks (WSNs). The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary Planning (MIP) for energy-efficient data gathering. The MIP was proposed to outperform the weakness of SIP by introducing distributed multi MAs to perform the data gathering task. Despite the advantages of MIP, finding the optimal number of distributed MAs and their itineraries are still regarded as critical issues. The existing MIP algorithms assume that the itinerary of the MA has to start and return back to the sink node. Moreover, each distributed MA has to carry the processing code (data aggregation code) to collect the sensory data and return back to the sink with the accumulated data. However, these assumptions have resulted in an increase in the number of MA's migration hops, which subsequently leads to an increase in energy and time consumption. In this paper, a spawn multi-mobile agent itinerary planning (SMIP) approach is proposed to mitigate the substantial increase in cost of energy and time used in the data gathering processes. The proposed approach is based on the agent spawning such that the main MA is able to spawn other MAs with different tasks assigned from the main MA. Extensive simulation experiments have been conducted to test the performance of the proposed approach against some selected MIP algorithms. The results show that the proposed SMIP outperforms the counterpart algorithms in terms of energy consumption and task delay (time), and improves the integrated energy-delay performance. Multidisciplinary Digital Publishing Institute 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60738/1/A%20spawn%20mobile%20agent%20itinerary%20planning%20approach%20for%20energy-efficient%20data%20gathering%20in%20wireless%20sensor%20networks.pdf Q. Qadori, Huthiafa and Ahmad Zulkarnain, Zuriati and Mohd Hanapi, Zurina and Subramaniam, Shamala (2017) A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks. Sensors, 17 (1280). pp. 1-16. ISSN 1424-8220 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492819/pdf/sensors-17-01280.pdf 10.3390/s17061280
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Mobile agent (MA), a part of the mobile computing paradigm, was recently proposed for data gathering in Wireless Sensor Networks (WSNs). The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary Planning (MIP) for energy-efficient data gathering. The MIP was proposed to outperform the weakness of SIP by introducing distributed multi MAs to perform the data gathering task. Despite the advantages of MIP, finding the optimal number of distributed MAs and their itineraries are still regarded as critical issues. The existing MIP algorithms assume that the itinerary of the MA has to start and return back to the sink node. Moreover, each distributed MA has to carry the processing code (data aggregation code) to collect the sensory data and return back to the sink with the accumulated data. However, these assumptions have resulted in an increase in the number of MA's migration hops, which subsequently leads to an increase in energy and time consumption. In this paper, a spawn multi-mobile agent itinerary planning (SMIP) approach is proposed to mitigate the substantial increase in cost of energy and time used in the data gathering processes. The proposed approach is based on the agent spawning such that the main MA is able to spawn other MAs with different tasks assigned from the main MA. Extensive simulation experiments have been conducted to test the performance of the proposed approach against some selected MIP algorithms. The results show that the proposed SMIP outperforms the counterpart algorithms in terms of energy consumption and task delay (time), and improves the integrated energy-delay performance.
format Article
author Q. Qadori, Huthiafa
Ahmad Zulkarnain, Zuriati
Mohd Hanapi, Zurina
Subramaniam, Shamala
spellingShingle Q. Qadori, Huthiafa
Ahmad Zulkarnain, Zuriati
Mohd Hanapi, Zurina
Subramaniam, Shamala
A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
author_facet Q. Qadori, Huthiafa
Ahmad Zulkarnain, Zuriati
Mohd Hanapi, Zurina
Subramaniam, Shamala
author_sort Q. Qadori, Huthiafa
title A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
title_short A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
title_full A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
title_fullStr A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
title_full_unstemmed A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
title_sort spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
publisher Multidisciplinary Digital Publishing Institute
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/60738/1/A%20spawn%20mobile%20agent%20itinerary%20planning%20approach%20for%20energy-efficient%20data%20gathering%20in%20wireless%20sensor%20networks.pdf
http://psasir.upm.edu.my/id/eprint/60738/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492819/pdf/sensors-17-01280.pdf
_version_ 1643837428506558464
score 13.211869

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