An Energy Efficient Routing Algorithm for WSNs Using Intelligent Fuzzy Rules in Precision Agriculture
| Autor: | Arputharaj Kannan, Sannasi Ganapathy, V. Pandiyaraju, R. Logambigai |
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| Rok vydání: | 2020 |
| Předmět: |
Routing protocol
Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications 02 engineering and technology Fuzzy logic Computer Science Applications 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Precision agriculture Electrical and Electronic Engineering Routing (electronic design automation) Algorithm Protocol (object-oriented programming) Wireless sensor network Energy (signal processing) Efficient energy use |
| Zdroj: | Wireless Personal Communications. 112:243-259 |
| ISSN: | 1572-834X 0929-6212 |
| Popis: | Many agricultural activities can be highly enhanced by using sensor networks and data mining techniques. One of these activities is the regulation of the quantity of water in cultivated fields. Moreover, wireless sensor network have become a more emerging technology in precision agriculture during the recent years. The important issue in the design of wireless sensor networks is the utilization of energy and to enhance the lifetime of the sensor nodes. In this paper, a new intelligent routing protocol has been proposed to improve the network lifetime and to provide energy efficiency in the routing process which is used to provide data to the irrigation system. This novel intelligent energy efficient routing protocol uses fuzzy rules and the protocol is called as Terrain based Routing using Fuzzy rules for precision agriculture. The fuzzy inference system developed in this work has been used to take decisions for routing. The system has been implemented and compared with two routing algorithms called Region Based Routing and Equalized Cluster Head Election Routing Protocol. The experimental results show that the proposed algorithm performs better than the other existing algorithms. |
| Databáze: | OpenAIRE |
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