Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks
Wireless Sensor Networks (WSNs) are defined as networks of nodes that work in a cooperative way in order to sense and control the surrounding environment. Several WSNs algorithms have been proposed by utilizing the Fuzzy Logic technique to select the cluster heads (CHs). Each technique employs a dif...
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Institute of Advanced Engineering and Science
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/29895/ http://umpir.ump.edu.my/id/eprint/29895/1/Fuzzy-logic-RSSI%20based%20approach%20for%20cluster%20heads%20selection.pdf |
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| author | Azamuddin, Abdul Rahman M. N. M., Kahar Wan Isni Sofiah, Wan Din |
| author_facet | Azamuddin, Abdul Rahman M. N. M., Kahar Wan Isni Sofiah, Wan Din |
| author_sort | Azamuddin, Abdul Rahman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Wireless Sensor Networks (WSNs) are defined as networks of nodes that work in a cooperative way in order to sense and control the surrounding environment. Several WSNs algorithms have been proposed by utilizing the Fuzzy Logic technique to select the cluster heads (CHs). Each technique employs a different combination of input parameters such as nodes density, communication cost, and residual energy. CHs determination is critical towards this goal, whereas the combination of input parameters is expected to play an important role. Nevertheless, the received signal strength (RSSI) is one of the main criteria which get little attention from researchers on the topic of CHs selection. In this study, an RSSI based scheme was proposed which utilizes Fuzzy Logic approach in order to be combined with residual energy and centrality of the fuzzy descriptor. In order to evaluate the proposed scheme, the performance Multi-Tier Protocol (MAP) and Stable Election Protocol (SEP) were compared. The simulation results show that the proposed approach has significantly prolonged the survival time of the network against SEP and MAP, while effectively decelerating the dead process of sensor nodes. |
| first_indexed | 2025-11-15T02:56:21Z |
| format | Article |
| id | ump-29895 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:56:21Z |
| publishDate | 2020 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-298952020-11-12T04:11:03Z http://umpir.ump.edu.my/id/eprint/29895/ Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks Azamuddin, Abdul Rahman M. N. M., Kahar Wan Isni Sofiah, Wan Din QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Wireless Sensor Networks (WSNs) are defined as networks of nodes that work in a cooperative way in order to sense and control the surrounding environment. Several WSNs algorithms have been proposed by utilizing the Fuzzy Logic technique to select the cluster heads (CHs). Each technique employs a different combination of input parameters such as nodes density, communication cost, and residual energy. CHs determination is critical towards this goal, whereas the combination of input parameters is expected to play an important role. Nevertheless, the received signal strength (RSSI) is one of the main criteria which get little attention from researchers on the topic of CHs selection. In this study, an RSSI based scheme was proposed which utilizes Fuzzy Logic approach in order to be combined with residual energy and centrality of the fuzzy descriptor. In order to evaluate the proposed scheme, the performance Multi-Tier Protocol (MAP) and Stable Election Protocol (SEP) were compared. The simulation results show that the proposed approach has significantly prolonged the survival time of the network against SEP and MAP, while effectively decelerating the dead process of sensor nodes. Institute of Advanced Engineering and Science 2020 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/29895/1/Fuzzy-logic-RSSI%20based%20approach%20for%20cluster%20heads%20selection.pdf Azamuddin, Abdul Rahman and M. N. M., Kahar and Wan Isni Sofiah, Wan Din (2020) Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks. Indonesian Journal of Electrical Engineering and Computer Science, 18 (3). pp. 1424-1431. ISSN 2502-4752. (Published) http://doi.org/10.11591/ijeecs.v18.i3.pp1424-1431 http://doi.org/10.11591/ijeecs.v18.i3.pp1424-1431 |
| spellingShingle | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Azamuddin, Abdul Rahman M. N. M., Kahar Wan Isni Sofiah, Wan Din Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks |
| title | Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks |
| title_full | Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks |
| title_fullStr | Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks |
| title_full_unstemmed | Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks |
| title_short | Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks |
| title_sort | fuzzy-logic-rssi based approach for cluster heads selection in wireless sensor networks |
| topic | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/29895/ http://umpir.ump.edu.my/id/eprint/29895/ http://umpir.ump.edu.my/id/eprint/29895/ http://umpir.ump.edu.my/id/eprint/29895/1/Fuzzy-logic-RSSI%20based%20approach%20for%20cluster%20heads%20selection.pdf |