Efficient routing mechanism for neighbour selection using fuzzy logic in wireless sensor network. (September 2021)
- Record Type:
- Journal Article
- Title:
- Efficient routing mechanism for neighbour selection using fuzzy logic in wireless sensor network. (September 2021)
- Main Title:
- Efficient routing mechanism for neighbour selection using fuzzy logic in wireless sensor network
- Authors:
- Ramkumar, K.
Ananthi, N.
Brabin, D. R. Denslin
Goswami, Puneet
Baskar, M.
Bhatia, Komal Kumar
Kumar, Harish - Abstract:
- Highlights: The article is focused on improving the performance of data transmission in wireless sensor network. The highlights of the research are as follows. Active relay nodes are identified with fuzzy logic and utility factor. Coverage distance is measured with Received Signal Strength (RSS) The fuzzy inference system selects the next relay node according to the coverage distance, energy and utility factor and bandwidth availability factors. By choosing relay node according to the above mentioned factors, the data transmission performance is improved. Abstract: Numerous sensor nodes are getting utilized in the field of Wireless Sensor Network (WSN) for complex communication. In the recent scenario, there is a lack in the number of sensor node placement with less sensing and communication capabilities. There is less involvement with the characteristics of sensor nodes for direct communication with remote nodes. During the communication, sensor data are communicated to the sink with the help of sensor hubs. Therefore to improve the performance of QoS, routing in the integration of relay node selection plays an important role in WSN. In this paper, we propose Fuzzy based Relay Node Selection and Energy Efficient Routing (FRNSEER) make the routing more efficient by selecting the effective relay node while communicating with the sink node. For selecting the sink node, fuzzy rules are used where active relay nodes are selected as the outcome. The active relay node selectionHighlights: The article is focused on improving the performance of data transmission in wireless sensor network. The highlights of the research are as follows. Active relay nodes are identified with fuzzy logic and utility factor. Coverage distance is measured with Received Signal Strength (RSS) The fuzzy inference system selects the next relay node according to the coverage distance, energy and utility factor and bandwidth availability factors. By choosing relay node according to the above mentioned factors, the data transmission performance is improved. Abstract: Numerous sensor nodes are getting utilized in the field of Wireless Sensor Network (WSN) for complex communication. In the recent scenario, there is a lack in the number of sensor node placement with less sensing and communication capabilities. There is less involvement with the characteristics of sensor nodes for direct communication with remote nodes. During the communication, sensor data are communicated to the sink with the help of sensor hubs. Therefore to improve the performance of QoS, routing in the integration of relay node selection plays an important role in WSN. In this paper, we propose Fuzzy based Relay Node Selection and Energy Efficient Routing (FRNSEER) make the routing more efficient by selecting the effective relay node while communicating with the sink node. For selecting the sink node, fuzzy rules are used where active relay nodes are selected as the outcome. The active relay node selection helps to determine the better energy and utility factor during the transmission process. To make better communication between the relay node and the sink node, sensor hubs are used with a lower energy expenditure schedule with expected functions of neighbor/working nodes. In the performance analysis, the proposed mechanism will perform better in terms of packet rate with low energy consumption compared to the existing algorithms such as Fuzzy-based Hyper Round Policy (FHRP) and Neural Network-based Localisation Scheme (NNBLS). Graphical abstract: Image, graphical abstract … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 94(2021)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 94(2021)
- Issue Display:
- Volume 94, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 94
- Issue:
- 2021
- Issue Sort Value:
- 2021-0094-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-09
- Subjects:
- Relay nodes -- Fuzzy interference system -- Energy-efficient routing -- Coverage distance estimation -- Wireless sensor network -- FRNSEER -- Fuzzy rules -- Relay selection -- RSS
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2021.107365 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3394.680000
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