Volume 18, Issue 1 (5-2021)                   JSDP 2021, 18(1): 12-3 | Back to browse issues page

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Borumand Saeid A, Hesampour M, Kuchaki Rafsanjani M. Intuitionistic fuzzy logic for adaptive energy efficient routing in mobile ad-hoc networks. JSDP. 2021; 18 (1) :12-3
URL: http://jsdp.rcisp.ac.ir/article-1-982-en.html
Shahid Bahonar University of Kerman
Abstract:   (498 Views)
In recent years, mobile ad-hoc networks have been used widely due to advances in wireless technology. These networks are formed in any environment that is needed without a fixed infrastructure or centralized management. Mobile ad-hoc networks have some characteristics and advantages such as wireless medium access, multi-hop routing, low cost development, dynamic topology and etc. In these networks the nodes formed temporarily and can move freely and each node has a limited energy that is supplied by the battery. Energy-efficient routing is one of the most important and challenging issues in these networks because of the limited energy. Therefore, most researchers seek to provide a method for energy aware routing. Soft computing methods help mobile ad-hoc networks, so that these networks would be worked more efficiently. One of these methods is using intuitionistic fuzzy logic that improves the evaluation parameters such as throughput. In this paper, an intuitionistic fuzzy logic system has been used for adjusting node willingness parameter in AODV protocol. Decision about participating in the routing of each mobile node is done by the intuitionistic fuzzy logic system with remaining energy and consumption energy of each node. In order to evaluate the proposed protocol entitled IFEE-AODV (Intuitionistic Fuzzy logic for Energy Efficient routing based AODV), we simulated IFEE-AODV by using MATLAB software and compared these results with AODV(Ad hoc On-demand Distance Vector), DFES-AODV (Dynamic Fuzzy Energy State based AODV) and SFES-AODV (Static Fuzzy Energy State based AODV) protocols. The results show that this protocol in metrics of packet delivery ratio and network lifetime has better performance than other protocols.
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Type of Study: Research | Subject: Paper
Received: 2019/03/3 | Accepted: 2019/11/10 | Published: 2021/05/22 | ePublished: 2021/05/22

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