FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks
A mobile agent (MA) was recently proposed to provide an alternative solution for traditional data gathering in wireless sensor networks. An MA is a software component that can migrate among network nodes by following an assigned itinerary (or path). Instead of transporting data from the nodes to the...
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Institute of Electrical and Electronics Engineers
2018
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my.upm.eprints.728012021-02-09T22:25:32Z http://psasir.upm.edu.my/id/eprint/72801/ FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks Qadori, Huthiafa Q. Ahmad Zukarnain, Zuriati Mohd Hanapi, Zurina Subramaniam, Shamala A mobile agent (MA) was recently proposed to provide an alternative solution for traditional data gathering in wireless sensor networks. An MA is a software component that can migrate among network nodes by following an assigned itinerary (or path). Instead of transporting data from the nodes to the processing unit (e.g., sink) for data gathering, the MA visits each node, and thus, it performs data gathering locally. The MA has two types of itinerary planning: single-agent itinerary planning (SIP) and multi-agent itinerary planning (MIP). The MIP was introduced to address the drawbacks of the SIP in terms of task duration, energy consumption, and reliability. Despite the advantages of the MIP, determining the optimal itinerary for each MA in the MIP poses a considerable challenge. Most proposed itineraries adopt a static itinerary in which the nodes to be visited by the MA are predetermined at the sink node. The distance among nodes is the only parameter that has been used to determine the itinerary of the MA. Other parameters, such as the remaining energy and a number of neighbors, have not been considered. This omission can negatively impact MA migration and result in an unsuccessful MA round-trip, particularly when the remaining energy of the node is insufficient to transfer an MA to the next hop. In this paper, a fuzzy-based MA migration approach (FuMAM) is proposed to determine appropriate itinerary for an MA by considering three parameters: distance, remaining energy, and a number of neighbors. Simulation experiments show that the FuMAM approach improves the rate of the successful MA round-trip and network lifetime. Moreover, the proposed FuMAM approach outperforms the compared algorithms in terms of energy distribution usage among nodes. Institute of Electrical and Electronics Engineers 2018-03 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72801/1/FuMAM.pdf Qadori, Huthiafa Q. and Ahmad Zukarnain, Zuriati and Mohd Hanapi, Zurina and Subramaniam, Shamala (2018) FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks. IEEE Access, 6 (8). pp. 15643-15652. ISSN 2169-3536 https://ieeexplore.ieee.org/abstract/document/8310614 10.1109/ACCESS.2018.2814064 |
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A mobile agent (MA) was recently proposed to provide an alternative solution for traditional data gathering in wireless sensor networks. An MA is a software component that can migrate among network nodes by following an assigned itinerary (or path). Instead of transporting data from the nodes to the processing unit (e.g., sink) for data gathering, the MA visits each node, and thus, it performs data gathering locally. The MA has two types of itinerary planning: single-agent itinerary planning (SIP) and multi-agent itinerary planning (MIP). The MIP was introduced to address the drawbacks of the SIP in terms of task duration, energy consumption, and reliability. Despite the advantages of the MIP, determining the optimal itinerary for each MA in the MIP poses a considerable challenge. Most proposed itineraries adopt a static itinerary in which the nodes to be visited by the MA are predetermined at the sink node. The distance among nodes is the only parameter that has been used to determine the itinerary of the MA. Other parameters, such as the remaining energy and a number of neighbors, have not been considered. This omission can negatively impact MA migration and result in an unsuccessful MA round-trip, particularly when the remaining energy of the node is insufficient to transfer an MA to the next hop. In this paper, a fuzzy-based MA migration approach (FuMAM) is proposed to determine appropriate itinerary for an MA by considering three parameters: distance, remaining energy, and a number of neighbors. Simulation experiments show that the FuMAM approach improves the rate of the successful MA round-trip and network lifetime. Moreover, the proposed FuMAM approach outperforms the compared algorithms in terms of energy distribution usage among nodes. |
format |
Article |
author |
Qadori, Huthiafa Q. Ahmad Zukarnain, Zuriati Mohd Hanapi, Zurina Subramaniam, Shamala |
spellingShingle |
Qadori, Huthiafa Q. Ahmad Zukarnain, Zuriati Mohd Hanapi, Zurina Subramaniam, Shamala FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
author_facet |
Qadori, Huthiafa Q. Ahmad Zukarnain, Zuriati Mohd Hanapi, Zurina Subramaniam, Shamala |
author_sort |
Qadori, Huthiafa Q. |
title |
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
title_short |
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
title_full |
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
title_fullStr |
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
title_full_unstemmed |
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
title_sort |
fumam: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2018 |
url |
http://psasir.upm.edu.my/id/eprint/72801/1/FuMAM.pdf http://psasir.upm.edu.my/id/eprint/72801/ https://ieeexplore.ieee.org/abstract/document/8310614 |
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