Multi-Objective Decision-Making of Cluster Heads Election in Routing Algorithm for Field Observation Instruments Network

Field observation systems are mainly deployed in the harsh natural environment. These systems principally focus on observation and study within the station currently, which leads to problems such as the inability to form combined network observation and quite challenging to answer the scientific que...

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Veröffentlicht in:IEEE sensors journal Jg. 21; H. 22; S. 25796 - 25807
Hauptverfasser: Yang, Jiguang, Huo, Jiuyuan, Al-Neshmi, Hamzah Murad Mohammed
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 15.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Clustering
Clustering algorithms
Clustering routing algorithms
Data exchange
Decision making
Elections
Energy consumption
entropy
field observation instrument network (FOIN)
Heuristic algorithms
Instruments
multi-objective decision-making
Multiple objective analysis
Optimization
Routing
Sensors
TOPSIS
Wireless sensor networks
ISSN:1530-437X, 1558-1748
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Zusammenfassung:Field observation systems are mainly deployed in the harsh natural environment. These systems principally focus on observation and study within the station currently, which leads to problems such as the inability to form combined network observation and quite challenging to answer the scientific questions of wider regions and scales. To form Field Observation Instruments Networks (FOINs) and accelerate the general automation rate as well as in real-time data exchange in field observation, a multi-objective decision-making mehod named Entropy-based TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) Clustering routing algorithm (ETC) for FOIN is proposed in this paper. The ETC algorithm can select the optimal cluster head (Optimal-CH) through multi-objective decision-making and mainly solves the problem that some existing multi-objective optimization algorithms cannot dynamically and objectively allocate weights. The ETC algorithm was compared with some latest work and similar kinds of work from network lifespan, the number of CH and energy consumption in the Matlab simulations experiments. The result shows that the ETC algorithm performs well, enhancing energy conservation and extending the existence of FOIN.
Bibliographie:ObjectType-Article-1
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2021.3119332