A Zone-Based Clustering Method for Ubiquitous Robots Based on Wireless Sensor Networks

2006 ◽  
pp. 25-38
Author(s):  
Kyungmi Kim ◽  
Hyunsook Kim ◽  
Young Choi ◽  
Sukgyu Lee ◽  
Kijun Han
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Clustering Method

EDMC: An Energy-Efficient Distributed Multi-Hop Clustering Approach for Wireless Sensor Networks

2012 ◽  
Vol 198-199 ◽  
pp. 1668-1671
Author(s):  
Zhu Guo Li ◽  
Bing Wen Wang ◽  
Li Zhu Feng
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Clustering Method ◽  
The Past ◽  
Decrease Energy Consumption ◽  
Potential Applications ◽  
Clustering Approach

The past few years have witnessed increasing focus on the potential applications of wireless sensor networks. Sensors in these networks are expected to be remotely dispersed in large number and to operate autonomously and unattended. Clustering is a widely used technique that can enhance scalability and decrease energy consumption over sensor networks. We present an energy-efficient distributed multi-hop clustering approach for sensor networks, which combined multi-hop transmission with clustering method, aiming to balance the energy dissipation and prolong the whole network lifetime. Simulations showed that the protocol proposed worked nearly 100% more efficient compared with LEACH and HEED.

A Clustering Method for Wireless Sensor Networks with Heterogeneous Node Types

2011 ◽  
Vol E94-B (8) ◽  
pp. 2254-2264 ◽  
Author(s):  
Sampath PRIYANKARA ◽  
Kazuhiko KINOSHITA ◽  
Hideki TODE ◽  
Koso MURAKAMI
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Clustering Method ◽  
Heterogeneous Node

scholarly journals Threshold Balanced Sampled DEEC Model for Heterogeneous Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Sercan Vançin ◽  
Ebubekir Erdem
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Distributed Energy ◽  
Clustering Method ◽  
Clustering Protocol ◽  
Energy Efficient Clustering

Due to the restricted hardware resources of the sensor nodes, modelling and designing energy efficient routing methods to increase the overall network lifetime have become one of the most significant strategies in wireless sensor networks (WSNs). Cluster-based heterogeneous routing protocols, a popular part of routing technology, have proven effective in management of topology, energy consumption, data collection or fusion, reliability, or stability in a distributed sensor network. In this article, an energy efficient three-level heterogeneous clustering method (DEEC) based distributed energy efficient clustering protocol named TBSDEEC (Threshold balanced sampled DEEC) is proposed. Contrary to most other studies, this study considers the effect of the threshold balanced sampled in the energy consumption model. Our model is compared with the DEEC, EDEEC (Enhanced Distributed Energy Efficient Clustering Protocol), and EDDEEC (Enhanced Developed Distributed Energy Efficient Clustering Protocol) using MATLAB as two different scenarios based on quality metrics, including living nodes on the network, network efficiency, energy consumption, number of packets received by base station (BS), and average latency. After, our new method is compared with artificial bee colony optimization (ABCO) algorithm and energy harvesting WSN (EH-WSN) clustering method. Simulation results demonstrate that the proposed model is more efficient than the other protocols and significantly increases the sensor network lifetime.

scholarly journals The Main Cluster Node Formation in Wireless Sensory Networks

2020 ◽  
pp. 34-41
Author(s):  
Olexander Belej
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Clustering Method ◽  
Main Cluster ◽  
Input Parameters ◽  
Node Formation

In wireless sensor networks, the clustering method is often used to transmit information, which is one of the most energy efficient approaches. Since the master cluster node interacts with other nodes in the network, a node with a high residual energy is selected to perform its functions. The technology of selecting the main node based on fuzzy logic, which involves the use of a number of input parameters, the effect of which is demonstrated in the article, is proposed.

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