Fuzzy based adaptive clustering to improve the lifetime of wireless sensor network

2019 ◽  
Vol 16 (12) ◽  
pp. 56-71 ◽  
Author(s):  
D. Uma Maheswari ◽  
S. Sudha ◽  
M. Meenalochani
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Adaptive Clustering

An Efficient Energy Adaptive Clustering LEACH in Wireless Sensor Network

2010 ◽  
Vol 439-440 ◽  
pp. 510-515
Author(s):  
Lian Xing Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Fault Tolerant ◽  
Wireless Sensor ◽  
Threat Detection ◽  
Critical Systems ◽  
New Paradigm ◽  
Power Sources ◽  
Adaptive Clustering ◽  
Programming Tools

Wireless sensor network (WSN) is an emerging class of systems made possible by cheap hardware, advanced programming tools, complex algorithms, long lasting power sources and energy efficient radio interfaces. Wireless sensor network is a new paradigm in designing fault tolerant mission critical systems, to enable varied applications like threat detection, environmental monitoring, traditional sensing and actuation and much more. The algorithmic approach to WSN differentiates itself from the protocol approach by the fact that the mathematical models used are more abstract, more general, but sometimes less realistic than the models used for protocol design. Experimental results prove that the scheme can get better effect.

scholarly journals Consumption of Energy and Routing Protocols in Wireless Sensor Network

2016 ◽  
Vol 8 (3) ◽  
pp. 76 ◽  
Author(s):  
Ridha Azizi
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Cluster Head ◽  
Low Energy ◽  
Wireless Sensor ◽  
Simulation Tool ◽  
New Approach ◽  
Adaptive Clustering

Extend the life of a wireless sensor network (WSN) is a fundamental challenge, as they have a limited supply. Multiple protocols and approaches have been proposed to minimize power consumption. Routing protocols and especially the hierarchical approach is one of the techniques used to minimize energy consumption and to improve the duration of network life. In this paper we propose a new approach to transfer and select the CH (Cluster Head). ART-LEACH (Advanced Routing Transfer- Low-Energy Adaptive Clustering Hierarchy) is a self-organizing protocol based on clustering. Our approach is to use energy more evenly the selected nodes as CH. We evaluated the performance of LEACH (Low-Energy Adaptive Clustering Hierarchy) and IB-LEACH (Improved and Balanced Low Energy Adaptive Clustering Hierarchy) protocol with the proposed new approach using MATLAB as a simulation tool. The simulation results showed that our proposal provides a reduction in energy consumption and increase the duration of network life.

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