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Sensors 2019, 19(1), 196; https://doi.org/10.3390/s19010196

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

1
School of Aeronautics Engineering, Air Force Engineering University, Xi’an 710038, China
2
Institute of Unmanned Systems Technology, Northwestern Polytechnical University, Xi’an 710072, China
3
Aviation Petty Officer School, Air Force Engineering University, Xinyang 464000, China
4
Xi’an Institute of Space Radio Technology, Xi’an 710000, China
*
Author to whom correspondence should be addressed.
Received: 6 December 2018 / Revised: 28 December 2018 / Accepted: 2 January 2019 / Published: 7 January 2019
(This article belongs to the Special Issue Signal and Information Processing in Wireless Sensor Networks)
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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. View Full-Text
Keywords: geographic routing protocol; fuzzy logic; selection criteria; parameters for assessment; routing overhead geographic routing protocol; fuzzy logic; selection criteria; parameters for assessment; routing overhead
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Hu, X.; Ma, L.; Ding, Y.; Xu, J.; Li, Y.; Ma, S. Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks. Sensors 2019, 19, 196.

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