An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks

2017 ◽  
Vol 8 (2) ◽  
pp. 1-14
Author(s):  
Miralda Cuka ◽  
Donald Elmazi ◽  
Takaaki Inaba ◽  
Tetsuya Oda ◽  
Makoto Ikeda ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Energy Dissipation ◽  
Cluster Formation ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Cluster Centroid ◽  
Different Characteristics ◽  
Selection Of

Cluster formation and cluster head selection are important problems in Wireless Sensor Network (WSN) applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, in this paper, we implement an integrated fuzzy-based system for controlling sensor speed in WSNs. Different from our previous work, we consider 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.

An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks

2020 ◽  
pp. 1135-1149
Author(s):  
Miralda Cuka ◽  
Donald Elmazi ◽  
Takaaki Inaba ◽  
Tetsuya Oda ◽  
Makoto Ikeda ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Energy Dissipation ◽  
Cluster Formation ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Different Characteristics ◽  
Selection Of

Cluster formation and cluster head selection are important problems in Wireless Sensor Network (WSN) applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, in this paper, we implement an integrated fuzzy-based system for controlling sensor speed in WSNs. Different from our previous work, we consider 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.

Enhanced Auxiliary Cluster Head Selection Routing Algorithm in Wireless Sensor Networks

2019 ◽  
Vol 12 ◽  
Author(s):  
Gaurav Kumar Nigam ◽  
Chetna Dabas
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Cluster Head ◽  
Base Station ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cluster Head Selection

Background & Objective: Wireless sensor networks are made up of huge amount of less powered small sensor nodes that can audit the surroundings, collect meaningful data, and send it base station. Various energy management plans that pursue to lengthen the endurance of overall network has been proposed over the years, but energy conservation remains the major challenge as the sensor nodes have finite battery and low computational capabilities. Cluster based routing is the most fitting system to help for burden adjusting, adaptation to internal failure, and solid correspondence to draw out execution parameters of wireless sensor network. Low energy adaptive clustering hierarchy is an efficient clustering based hierarchical protocol that is used to enhance the lifetime of sensor nodes in wireless sensor network. It has some basic flaws that need to be overwhelmed in order to reduce the energy utilization and inflating the nodes lifetime. Methods : In this paper, an effective auxiliary cluster head selection is used to propose a new enhanced GC-LEACH algorithm in order to minimize the energy utilization and prolonged the lifespan of wireless sensor network. Results & Conclusion: Simulation is performed in NS-2 and the outcomes show that the GC-LEACH outperforms conventional LEACH and its existing versions in the context of frequent cluster head rotation in various rounds, number of data packets collected at base station, as well as reduces the energy consumption 14% - 19% and prolongs the system lifetime 8% - 15%.

scholarly journals Improvement inEnergy Efficiency of Wireless Sensor Network

2012 ◽  
Vol 2 (2) ◽  
pp. 85-87 ◽  
Author(s):  
Sawroop Kaur ◽  
Deepak Prashar ◽  
Rita Rani
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Energy Dissipation ◽  
Sensor Network ◽  
Routing Protocols ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Leach Protocol ◽  
Predefined Criterion

Clustering in wireless sensor network is important to increase the lifetime of sensor network. LEACH protocol is one of the clustering routing protocols in wireless sensor networks. In LEACH each node has the equal probability to be a cluster head, due to which the energy dissipation of every node is balanced. In LEACH protocol, time is divided into many rounds and in each round, all the nodes wishes to be cluster head according to a predefined criterion. This paper focuses on the approach that how could the number of cluster heads are limited in the network, if we limit the number of cluster head to a percentage of total nodes in the network, we can increase the lifetime of the network and decrease the energy dissipation per node. These functions can be used to enhance the performance of cluster-based wireless sensor networks in terms of lifetime and throughput.

scholarly journals IMPROVED ARCHITECTURE FOR MAXIMIZING SYSTEM LIFETIME OF WIRELESS SENSOR NETWORK USING CLUSTERING ALGORITHM

2013 ◽  
pp. 143-146
Author(s):  
KANT KUMAR ADLAK ◽  
MANISH PANDEY
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Clustering Algorithm ◽  
Signal Transmission ◽  
Cluster Formation ◽  
Cluster Head ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Energy Efficient Routing

Real time implementation of Ad-hoc Wireless Sensor Network has increased with great potential. Application areas of WSN’s are military warfare, disaster management, battle field, forest fire detection and other several monitoring area. Key challenge in WSN is to minimize the use of limited battery resources. Several energy efficient routing algorithms have been proposed till date. LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering protocol that divides the network into logical clusters and keeps rotating the cluster head selection to send data to sink. In this paper we propose a new technique of cluster formation based on organizational setup structure. New Network structure proposed will show an efficient increase in minimizing the node energy dissipation of signal transmission and will lead to maximize the system lifetime. We also propose a mix of Round-Robin algorithm into the cluster head selection for data transmission to base station. We compare the newly proposed clustering algorithm with the traditional LEACH algorithm.

Passive Distributed Clustering Scheme in Wireless Sensor Networks

2013 ◽  
Vol 441 ◽  
pp. 936-940
Author(s):  
Hui Gao
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Cluster Head ◽  
Residual Energy ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Distributed Clustering ◽  
Simulation Results

Energy efficiency is especially important for the cluster of the wireless sensor network (WSN). This paper studies how to increase availability and survivability of WSN by selecting a suitable cluster head. For this purpose, we propose a passive distributed clustering scheme (PDCS), to promote the efficiency of energy utilization. In PDCS, both the relative distance and the residual energy are taken into consideration for cluster head selection. Simulation results present that PDCS has better performance than the well-known LEACH scheme.

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