Self-organising cooperative clustering protocol for tracking and monitoring

2020 ◽  
Vol 33 (4) ◽  
pp. 189
Author(s):  
Uthman Baroudi ◽  
Yousef Ali
Keyword(s):  
Clustering Protocol ◽  
Cooperative Clustering

Design of Double Rounds Clustering Protocol for Improving Energy Efficient in Wireless Sensor Networks

2011 ◽  
Vol 21 (11) ◽  
pp. 2933-2943 ◽  
Author(s):  
Qing-Zhang CHEN ◽  
Xiao-Min ZHAO ◽  
Xiao-Ying CHEN
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Clustering Protocol

Uneven clustering protocol based on ants algorithms & level

2010 ◽  
Vol 2009 (2) ◽  
pp. 105-111
Author(s):  
Xiaopei Wu ◽  
Yue Wu
Keyword(s):  
Clustering Protocol

Performance Analysis of RNC Clustering Protocol in Wireless Sensor Network

2019 ◽  
Vol 10 ◽  
Author(s):  
Piyush Rawat ◽  
Siddhartha Chauhan
Keyword(s):  
Energy Consumption ◽  
Network Performance ◽  
Energy Levels ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Threshold Function ◽  
Efficient Manner ◽  
Clustering Protocol

Background and Objective: The functionalities of wireless sensor networks (WSN) are growing in various areas, so to handle the energy consumption of network in an efficient manner is a challenging task. The sensor nodes in the WSN are equipped with limited battery power, so there is a need to utilize the sensor power in an efficient way. The clustering of nodes in the network is one of the ways to handle the limited energy of nodes to enhance the lifetime of the network for its longer working without failure. Methods: The proposed approach is based on forming a cluster of various sensor nodes and then selecting a sensor as cluster head (CH). The heterogeneous sensor nodes are used in the proposed approach in which sensors are provided with different energy levels. The selection of an efficient node as CH can help in enhancing the network lifetime. The threshold function and random function are used for selecting the cluster head among various sensors for selecting the efficient node as CH. Various performance parameters such as network lifespan, packets transferred to the base station (BS) and energy consumption are used to perform the comparison between the proposed technique and previous approaches. Results and Discussion: To validate the working of the proposed technique the simulation is performed in MATLAB simulator. The proposed approach has enhanced the lifetime of the network as compared to the existing approaches. The proposed algorithm is compared with various existing techniques to measure its performance and effectiveness. The sensor nodes are randomly deployed in a 100m*100m area. Conclusion: The simulation results showed that the proposed technique has enhanced the lifespan of the network by utilizing the node’s energy in an efficient manner and reduced the consumption of energy for better network performance.

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