A hybrid range-free algorithm using dynamic communication range for wireless sensor networks
Location plays a backbone role in networks, since it will great influence basic wireless sensor networks (WSNs) architecture. Distance-Vector Hop (DV-Hop) is a representative range-free localization algorithm, which is widely utilized to locate node position in location-based application. However, w...
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Online Access: | http://umpir.ump.edu.my/id/eprint/28927/1/A%20Hybrid%20Range-free%20Algorithm%20Using%20Dynamic%20Communication.pdf http://umpir.ump.edu.my/id/eprint/28927/ https://doi.org/10.3991/ijoe.v16i08.14379 https://doi.org/10.3991/ijoe.v16i08.14379 |
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my.ump.umpir.289272021-09-03T08:01:48Z http://umpir.ump.edu.my/id/eprint/28927/ A hybrid range-free algorithm using dynamic communication range for wireless sensor networks Fengrong, Han Izzeldin Ibrahim, Mohamed Abdelaziz Xinni, Liu Kamarul Hawari, Ghazali Hao, Wang TK Electrical engineering. Electronics Nuclear engineering Location plays a backbone role in networks, since it will great influence basic wireless sensor networks (WSNs) architecture. Distance-Vector Hop (DV-Hop) is a representative range-free localization algorithm, which is widely utilized to locate node position in location-based application. However, with poor localization accuracy, it cannot satisfy precise location-based application requirement. Consequently, we proposed a hybrid range-free algorithm depends on dynamic communication range to address low localization accuracy problem, named as DCDV-Hop. Firstly, we applied statistical methods to analyze the relationship between location error and hop count under different communication ranges. Thereafter, we employed centroid algorithm to calculate target node coordinate based on hop threshold. Finally, a weighted least square is applied to locate remaining target nodes. We conducted considerable experiments, the results demonstrated that our proposed algorithm DCDV-Hop can effectively reduce accumulate localization error and improve localization accuracy of target nodes, with stable performance. Moreover, maximum localization accuracy reached up to 91.35% and localization error reduced more than 50%, compared with DV-Hop algorithm. iJOE 2020 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/28927/1/A%20Hybrid%20Range-free%20Algorithm%20Using%20Dynamic%20Communication.pdf Fengrong, Han and Izzeldin Ibrahim, Mohamed Abdelaziz and Xinni, Liu and Kamarul Hawari, Ghazali and Hao, Wang (2020) A hybrid range-free algorithm using dynamic communication range for wireless sensor networks. International Journal of Online and Biomedical Engineering (iJOE), 16 (8). pp. 4-24. ISSN 2626-8493 https://doi.org/10.3991/ijoe.v16i08.14379 https://doi.org/10.3991/ijoe.v16i08.14379 |
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TK Electrical engineering. Electronics Nuclear engineering Fengrong, Han Izzeldin Ibrahim, Mohamed Abdelaziz Xinni, Liu Kamarul Hawari, Ghazali Hao, Wang A hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
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Location plays a backbone role in networks, since it will great influence basic wireless sensor networks (WSNs) architecture. Distance-Vector Hop (DV-Hop) is a representative range-free localization algorithm, which is widely utilized to locate node position in location-based application. However, with poor localization accuracy, it cannot satisfy precise location-based application requirement. Consequently, we proposed a hybrid range-free algorithm depends on dynamic communication range to address low localization accuracy problem, named as DCDV-Hop. Firstly, we applied statistical methods to analyze the relationship between location error and hop count under different communication ranges. Thereafter, we employed centroid algorithm to calculate target node coordinate based on hop threshold. Finally, a weighted least square is applied to locate remaining target nodes. We conducted considerable experiments, the results demonstrated that our proposed algorithm DCDV-Hop can effectively reduce accumulate localization error and improve localization accuracy of target nodes, with stable performance. Moreover, maximum localization accuracy reached up to 91.35% and localization error reduced more than 50%, compared with DV-Hop algorithm. |
format |
Article |
author |
Fengrong, Han Izzeldin Ibrahim, Mohamed Abdelaziz Xinni, Liu Kamarul Hawari, Ghazali Hao, Wang |
author_facet |
Fengrong, Han Izzeldin Ibrahim, Mohamed Abdelaziz Xinni, Liu Kamarul Hawari, Ghazali Hao, Wang |
author_sort |
Fengrong, Han |
title |
A hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
title_short |
A hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
title_full |
A hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
title_fullStr |
A hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
title_full_unstemmed |
A hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
title_sort |
hybrid range-free algorithm using dynamic communication range for wireless sensor networks |
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iJOE |
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2020 |
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http://umpir.ump.edu.my/id/eprint/28927/1/A%20Hybrid%20Range-free%20Algorithm%20Using%20Dynamic%20Communication.pdf http://umpir.ump.edu.my/id/eprint/28927/ https://doi.org/10.3991/ijoe.v16i08.14379 https://doi.org/10.3991/ijoe.v16i08.14379 |
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1710675692010602496 |
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13.211869 |