scholarly journals A Novel Fault Tolerance Energy-Aware Clustering Method via Social Spider Optimization (SSO) and Fuzzy Logic and Mobile Sink in Wireless Sensor Networks (WSNs)

2020 ◽  
Vol 35 (6) ◽  
pp. 477-494
Author(s):  
ShayestehTabatabaei
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Clustering Method ◽  
Energy Aware ◽  
Social Spider ◽  
Social Spider Optimization

scholarly journals Congestion Control and Prediction Schemes Using Fuzzy Logic System with Adaptive Membership Function in Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Phet Aimtongkham ◽  
Tri Gia Nguyen ◽  
Chakchai So-In
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Packet Loss ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Volume Data ◽  
Energy Aware ◽  
Fuzzy Logic Systems ◽  
Hop Count

Network congestion is a key challenge in resource-constrained networks, particularly those with limited bandwidth to accommodate high-volume data transmission, which causes unfavorable quality of service, including effects such as packet loss and low throughput. This challenge is crucial in wireless sensor networks (WSNs) with restrictions and constraints, including limited computing power, memory, and transmission due to self-contained batteries, which limit sensor node lifetime. Determining a path to avoid congested routes can prolong the network. Thus, we present a path determination architecture for WSNs that takes congestion into account. The architecture is divided into 3 stages, excluding the final criteria for path determination: (1) initial path construction in a top-down hierarchical structure, (2) path derivation with energy-aware assisted routing, and (3) congestion prediction using exponential smoothing. With several factors, such as hop count, remaining energy, buffer occupancy, and forwarding rate, we apply fuzzy logic systems to determine proper weights among those factors in addition to optimizing the weight over the membership functions using a bat algorithm. The simulation results indicate the superior performance of the proposed method in terms of high throughput, low packet loss, balancing the overall energy consumption, and prolonging the network lifetime compared to state-of-the-art protocols.

An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic

2012 ◽  
Vol 10 (7) ◽  
pp. 1469-1481 ◽  
Author(s):  
Hoda Taheri ◽  
Peyman Neamatollahi ◽  
Ossama Mohamed Younis ◽  
Shahrzad Naghibzadeh ◽  
Mohammad Hossein Yaghmaee
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Distributed Clustering ◽  
Energy Aware ◽  
Clustering Protocol

Energy-Aware Data Aggregation for Grid-Based Wireless Sensor Networks with a Mobile Sink

2007 ◽  
Vol 43 (4) ◽  
pp. 1539-1551 ◽  
Author(s):  
Nen-Chung Wang ◽  
Yung-Fa Huang ◽  
Jong-Shin Chen ◽  
Po-Chi Yeh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Grid Based

Fuzzy Logic Based Effective Clustering of Homogeneous Wireless Sensor Networks for Mobile Sink

2020 ◽  
Vol 20 (10) ◽  
pp. 5615-5623 ◽  
Author(s):  
Akshay Verma ◽  
Sunil Kumar ◽  
Prateek Raj Gautam ◽  
Tarique Rashid ◽  
Arvind Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Mobile Sink ◽  
Wireless Sensor
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