Distributed fuzzy logic based routing protocol for wireless sensor networks

2016 ◽  
Author(s):  
Asma Messaoudi ◽  
Rabiaa Elkamel ◽  
Abdelhamid Helali ◽  
Ridha Bouallegue
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Wireless Sensor

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

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 196 ◽  
Author(s):  
Xing Hu ◽  
Linhua Ma ◽  
Yongqiang Ding ◽  
Jin Xu ◽  
Yan Li ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Geographic Routing ◽  
Wireless Sensor ◽  
Location Information ◽  
Destination Node ◽  
Routing Overhead ◽  
Geographic Routing Protocol

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.

scholarly journals Distributed Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks Using Affinity Propagation And Fuzzy Logic

2021 ◽  
Author(s):  
Chu-hang Wang ◽  
Huang-shui Hu ◽  
Zhi-gang Zhang ◽  
Yu-xin Guo ◽  
Jin-feng Zhang
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Residual Energy ◽  
Affinity Propagation ◽  
Wireless Sensor ◽  
Distributed Clustering

Abstract Organizing nodes into clusters and forwarding data to the Base Station (BS) in clustering routing protocols have been widely utilized to improve the energy efficiency, scalability and stability of Wireless Sensor Networks (WSN). Making decisions on how many clusters are formed, which nodes are selected as Cluster Heads (CHs) and who become the relay nodes significantly impact the network performance. Therefore, a Distributed clustering routing protocol combined Affinity Propagation (AP) with Fuzzy Logic called DAPFL is proposed in this paper, which considers not only energy efficiency but also energy balance to extend the network lifetime. In DAPFL, AP is firstly used to determine the number of clusters and select the best CHs simultaneously based on residual energy, distance between nodes. Then the optimal next-hop CHs are chosen by using fuzzy logic system with residual energy, data length and distance to BS as descriptors. Simulations in different scenarios are carried out to verify the effectiveness of DAPFL, and the results show that DAPFL exhibits the promising performance in terms of network energy consumption, standard deviation of residual energy, network throughput and lifetime, compared with the up-to-date distributed clustering routing protocols EEFUC, EEFRP, LEACH-AP and APSA.

scholarly journals An Unequally Clustered Multi-hop Routing Protocol Based on Fuzzy Logic for Wireless Sensor Networks

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 38531-38545
Author(s):  
Mohd Adnan ◽  
Liu Yang ◽  
Tazeem Ahmad ◽  
Yang Tao
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Wireless Sensor
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