Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks

Author:

Hu XingORCID,Ma Linhua,Ding Yongqiang,Xu Jin,Li Yan,Ma Shiping

Abstract

The geographic routing protocol only requires the location information of local nodes for routing decisions, and is considered very efficient in multi-hop wireless sensor networks. However, in dynamic wireless sensor networks, it increases the routing overhead while obtaining the location information of destination nodes by using a location server algorithm. In addition, the routing void problem and location inaccuracy problem also occur in geographic routing. To solve these problems, a novel fuzzy logic-based geographic routing protocol (FLGR) is proposed. The selection criteria and parameters for the assessment of the next forwarding node are also proposed. In FLGR protocol, the next forward node can be selected based on the fuzzy location region of the destination node. Finally, the feasibility of the FLGR forwarding mode is verified and the performance of FLGR protocol is analyzed via simulation. Simulation results show that the proposed FLGR forwarding mode can effectively avoid the routing void problem. Compared with existing protocols, the FLGR protocol has lower routing overhead, and a higher packet delivery rate in a sparse network.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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1. Fault‐tolerant independent gradient forwarding routing for wireless sensor network;International Journal of Communication Systems;2024-07-08

2. Forward Node Selection by Evaluating Link Quality Using Fuzzy Logic in WBAN;International Journal of Electrical and Electronics Research;2024-05-30

3. MF‐DLB: Multimetric forwarding and directed acyclic graph‐based load balancing for geographic routing in FANETs;Concurrency and Computation: Practice and Experience;2024-01-28

4. SRG: Energy-Efficient Localized Routing to Bypass Void in Wireless Sensor Networks;ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal;2023-12-29

5. Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method;IEEE Transactions on Intelligent Transportation Systems;2023-12

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