Sensor networks simulation framework for target tracking applications: SN-SiFTTA
This work presents a new simulation framework for wireless sensor networks dedicated for target tracking applications named: SN-SiFTTA. SiFTTA does not address routing protocols as they have been studied extensively in the literature. Two scheduling finite state machine models are proposed to contro...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2021
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| الوصول للمادة أونلاين: | https://dspace.auk.edu.kw/handle/11675/9613 https://www.inderscience.com/info/inarticle.php?artid=117767 |
| الوسوم: |
إضافة وسم
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| _version_ | 1870679714326118401 |
|---|---|
| author | Rababaah, Aaron |
| author_facet | Rababaah, Aaron |
| author_role | author |
| dc.creator.none.fl_str_mv | Rababaah, Aaron |
| dc.date.none.fl_str_mv | 2021-09-23 2023-04-09T10:32:27Z 2023-04-09T10:32:27Z |
| dc.identifier.none.fl_str_mv | Rababaah, A. R. (2021). Sensor networks simulation framework for target tracking applications: SN-SiFTTA. International Journal of Web Engineering and Technology, 16(2), 113-138. https://dspace.auk.edu.kw/handle/11675/9613 https://www.inderscience.com/info/inarticle.php?artid=117767 |
| dc.publisher.none.fl_str_mv | International Journal Web Engineering and Technology - IJWET |
| dc.relation.none.fl_str_mv | College of Engineering & Applied Sciences |
| dc.title.none.fl_str_mv | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| dc.type.none.fl_str_mv | Peer Reviewed Journal Article info:eu-repo/semantics/publishedVersion |
| description | This work presents a new simulation framework for wireless sensor networks dedicated for target tracking applications named: SN-SiFTTA. SiFTTA does not address routing protocols as they have been studied extensively in the literature. Two scheduling finite state machine models are proposed to control the behaviour of the sensor nodes and cluster heads. Four different deployment methods are proposed and investigated using four performance metrics: target tracking accuracy (TTA), energy efficiency index (EEI), quality of clustering index (QCI) and deployment feasibility. A simulator with friendly and interactive graphical user interface was developed using Matlab integrated development environment. The simulator provides rich environment that allows the user to customized wide varieties of scenarios. Among these, we focus on deployment method effects on the aforementioned four performance metrics. Four hundred experiments were conducted 100 per each deployment method of global random, local random, grid random and uniform grid. After analysing the experimental results, the study suggested a weighted-criteria formula to select the best deployment method considering all performance metrics to avoid bias and to ensure problem context relevance. |
| id | AUKR_d3e5c28998a5f03768e4e308b46d48fc |
| identifier_str_mv | Rababaah, A. R. (2021). Sensor networks simulation framework for target tracking applications: SN-SiFTTA. International Journal of Web Engineering and Technology, 16(2), 113-138. |
| network_acronym_str | AUKR |
| network_name_str | AU Kuwait Rep |
| oai_identifier_str | oai:dspace.auk.edu.kw:11675/9613 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | International Journal Web Engineering and Technology - IJWET |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Sensor networks simulation framework for target tracking applications: SN-SiFTTARababaah, AaronThis work presents a new simulation framework for wireless sensor networks dedicated for target tracking applications named: SN-SiFTTA. SiFTTA does not address routing protocols as they have been studied extensively in the literature. Two scheduling finite state machine models are proposed to control the behaviour of the sensor nodes and cluster heads. Four different deployment methods are proposed and investigated using four performance metrics: target tracking accuracy (TTA), energy efficiency index (EEI), quality of clustering index (QCI) and deployment feasibility. A simulator with friendly and interactive graphical user interface was developed using Matlab integrated development environment. The simulator provides rich environment that allows the user to customized wide varieties of scenarios. Among these, we focus on deployment method effects on the aforementioned four performance metrics. Four hundred experiments were conducted 100 per each deployment method of global random, local random, grid random and uniform grid. After analysing the experimental results, the study suggested a weighted-criteria formula to select the best deployment method considering all performance metrics to avoid bias and to ensure problem context relevance.International Journal Web Engineering and Technology - IJWET2023-04-09T10:32:27Z2023-04-09T10:32:27Z2021-09-23Peer ReviewedJournal Articleinfo:eu-repo/semantics/publishedVersionRababaah, A. R. (2021). Sensor networks simulation framework for target tracking applications: SN-SiFTTA. International Journal of Web Engineering and Technology, 16(2), 113-138.https://dspace.auk.edu.kw/handle/11675/9613https://www.inderscience.com/info/inarticle.php?artid=117767College of Engineering & Applied Sciencesoai:dspace.auk.edu.kw:11675/96132023-04-09T10:32:27Z |
| spellingShingle | Sensor networks simulation framework for target tracking applications: SN-SiFTTA Rababaah, Aaron |
| status_str | publishedVersion |
| title | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| title_full | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| title_fullStr | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| title_full_unstemmed | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| title_short | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| title_sort | Sensor networks simulation framework for target tracking applications: SN-SiFTTA |
| url | https://dspace.auk.edu.kw/handle/11675/9613 https://www.inderscience.com/info/inarticle.php?artid=117767 |