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.

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%.

Salp

2020 ◽  
pp. 41-56 ◽  
Author(s):  
Vrajesh Kumar Chawra ◽  
Govind P. Gupta
Keyword(s):  
Wireless Sensor Networks ◽  
Network Lifetime ◽  
Cluster Head ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Research Issue ◽  
Energy Hole ◽  
Node Clustering

The formation of the unequal clusters of the sensor nodes is a burning research issue in wireless sensor networks (WSN). Energy-hole and non-uniform load assignment are two major issues in most of the existing node clustering schemes. This affects the network lifetime of WSN. Salp optimization-based algorithm is used to solve these problems. The proposed algorithm is used for cluster head selection. The performance of the proposed scheme is compared with the two-node clustering scheme in the term of residual energy, energy consumption, and network lifetime. The results show the proposed scheme outperforms the existing protocols in term of network lifetime under different network configurations.

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.

scholarly journals Cluster Head Selection in a Homogeneous Wireless Sensor Network Ensuring Full Connectivity with Minimum Isolated Nodes

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Tapan Kumar Jain ◽  
Davinder Singh Saini ◽  
Sunil Vidya Bhooshan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Research Work ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Number Of Clusters ◽  
Minimum Number ◽  
The One

The research work proposes a cluster head selection algorithm for a wireless sensor network. A node can be a cluster head if it is connected to at least one unique neighbor node where the unique neighbor is the one that is not connected to any other node. If there is no connected unique node then the CH is selected on the basis of residual energy and the number of neighbor nodes. With the increase in number of clusters, the processing energy of the network increases; hence, this algorithm proposes minimum number of clusters which further leads to increased network lifetime. The major novel contribution of the proposed work is an algorithm that ensures a completely connected network with minimum number of isolated nodes. An isolated node will remain only if it is not within the transmission range of any other node. With the maximum connectivity, the coverage of the network is automatically maximized. The superiority of the proposed design is verified by simulation results done in MATLAB, where it clearly depicts that the total numbers of rounds before the network dies out are maximum compared to other existing protocols.

scholarly journals R-bUCRP: A Novel Reputation-Based Uneven Clustering Routing Protocol for Cognitive Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Mingchuan Zhang ◽  
Ruijuan Zheng ◽  
Ying Li ◽  
Qingtao Wu ◽  
Liang Song
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Selfish Nodes ◽  
Simulation Results ◽  
Establishment Phase ◽  
Optimal Cluster

Energy of nodes is an important factor that affects the performance of Wireless Sensor Networks (WSNs), especially in the case of existing selfish nodes, which attracted many researchers’ attention recently. In this paper, we present a reputation-based uneven clustering routing protocol (R-bUCRP) considering both energy saving and reputation assessment. In the cluster establishment phase, we adopt an uneven clustering mechanism which controls the competitive scope of cluster head candidates to save the energy of WSNs. In the cluster heads election phase, the residual energy and reputation value are used as the indexes to select the optimal cluster head, where the reputation mechanism is introduced to support reputation assessment. Simulation results show that the proposed R-bUCRP can save node energy consumption, balance network energy distribution, and prolong network lifetime.

Priority Encoding-Based Cluster Head Selection Approach in Wireless Sensor Networks

2021 ◽  
pp. 113-138
Author(s):  
Pooja Chaturvedi ◽  
Ajai Kumar Daniel
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Network Performance ◽  
Cluster Head ◽  
Residual Energy ◽  
Link Quality ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Selection Approach

Wireless sensor networks have gotten significant attention in recent times due to their applicability in diverse fields. Energy conservation is a major challenge in wireless sensor networks. Apart from energy conservation, monitoring quality of the environmental phenomenon is also considered a major issue. The approaches that addressed both these problems are of great significance. One such approach is node scheduling, which aims to divide the node set into a number of subsets such that each subset can monitor a given set of points known as targets. The chapter proposes a priority coding-based cluster head selection approach as an extension of the energy efficient coverage protocol (EECP). The priority of the nodes is determined on the basis of residual energy (RE), distance (D), noise factor (N), node degree (Nd), and link quality (LQ). The analytical results show that the proposed protocol improves the network performance by reducing the overhead by a factor of 70% and hence reduces the energy consumption by a factor of 70%.

scholarly journals Distributed Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks Using Affinity Propagation And Fuzzy Logic

2021 ◽  
Author(s):  
Chu-hang Wang ◽  
Huang-shui Hu ◽  
Zhi-gang Zhang ◽  
Yu-xin Guo ◽  
Jin-feng Zhang
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Residual Energy ◽  
Affinity Propagation ◽  
Wireless Sensor ◽  
Distributed Clustering

Abstract Organizing nodes into clusters and forwarding data to the Base Station (BS) in clustering routing protocols have been widely utilized to improve the energy efficiency, scalability and stability of Wireless Sensor Networks (WSN). Making decisions on how many clusters are formed, which nodes are selected as Cluster Heads (CHs) and who become the relay nodes significantly impact the network performance. Therefore, a Distributed clustering routing protocol combined Affinity Propagation (AP) with Fuzzy Logic called DAPFL is proposed in this paper, which considers not only energy efficiency but also energy balance to extend the network lifetime. In DAPFL, AP is firstly used to determine the number of clusters and select the best CHs simultaneously based on residual energy, distance between nodes. Then the optimal next-hop CHs are chosen by using fuzzy logic system with residual energy, data length and distance to BS as descriptors. Simulations in different scenarios are carried out to verify the effectiveness of DAPFL, and the results show that DAPFL exhibits the promising performance in terms of network energy consumption, standard deviation of residual energy, network throughput and lifetime, compared with the up-to-date distributed clustering routing protocols EEFUC, EEFRP, LEACH-AP and APSA.

Improvement of Cluster-Head Selection Mechanism Based on LEACH Protocol in Wireless Sensor Networks

2014 ◽  
Vol 989-994 ◽  
pp. 4273-4276
Author(s):  
Shi Ping Fan ◽  
Xiao Di Zhang ◽  
Hai Li Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Cluster Head ◽  
Premature Death ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Selection Mechanism ◽  
Cluster Heads ◽  
Leach Protocol

In order to prolong the lifetime of wireless sensor networks, improvement of cluster-head selection mechanism based on LEACH protocol is proposed. To make the energy distribution more uniform, we consider the relationship of the density of nodes, residual energy of nodes and distance between nodes and Sink node. It eliminates the defect of energy consumption imbalance in the network caused by random position of cluster-heads and the problem of premature death of nodes caused by low energy nodes becoming cluster-heads. Simulation results show that compared with LEACH algorithm, the improved algorithm extend the network lifetime.

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