IRJET- A Survey Paper on Various Energy Efficient Clustering Algorithms in Wireless Sensor Networking (original) (raw)

46 Survey on Efficient Clustering with Energy Aware Routing in Wireless Sensor Networks

2016

Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured network. The WSN is a special kind of network which consists of large number of sensors and minimum one base station. Main difference between the WSN and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving and load balancing are the crucial issue in designing the wireless sensor networks. Load balancing can be used to extend the lifetime of a sensor network by reducing energy consumption. Load balancing with clustering can increase network scalability and clustering can also use to achieve self-organization, power saving, channel access, routing. The lifetime of network, depends on various parameters such as number of nodes, strength, range of area and connectivity of nodes in the network. Sensor nodes in wireless sensor network are depends on battery power they have limited transmission and reception range thus energy effici...

IRJET- Energy Efficient Clustering in Wireless Sensor Network

IRJET, 2021

The primary challenges in defining and organizing the operation of wireless sensor networks are the enhancement of energy utilization and the life of the system. Clustering is a powerful approach to aligning the system to the associated order, adjusting the load and improving the life of the system. In a cluster-based network, the cluster head closer to the sink depletes its energy quickly resulting in hot spot problems. Numerous algorithms on unequal clustering are being considered to conquer this problem. The downside in these algorithms is that the nodes that join the same cluster head will overburden the cluster head. So in this paper, we propose an algorithm called fuzzy based unequal clustering to improve the execution of a cluster. The proposed study is tested using simulation. The proposed algorithm is compared to two algorithms, one with an identical clustering algorithm called LEACH and the other with an unequal clustering algorithm called EAUCF. The simulation results using MATLAB show that the proposed algorithm offers better performance compared to the other two algorithms.

Survey on Efficient Clustering with Energy Aware Routing in Wireless Sensor Networks

International Journal of Science and Research (IJSR), 2016

Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured network. The WSN is a special kind of network which consists of large number of sensors and minimum one base station. Main difference between the WSN and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving and load balancing are the crucial issue in designing the wireless sensor networks. Load balancing can be used to extend the lifetime of a sensor network by reducing energy consumption. Load balancing with clustering can increase network scalability and clustering can also used to achieve self organization, power saving, channel access, routing. The lifetime of network, depends on various parameters such as number of nodes, strength, range of area and connectivity of nodes in the network. Sensor nodes in wireless sensor network are depends on battery power they have limited transmission and reception range thus energy efficiency plays a vital role to minimize the overhead through which the Network Lifetime can be achieved. In this paper we are over viewing techniques which are used in wireless sensor network for load balancing and improving lifetime of network also we discussed the system which we are going to implement.

IJERT-Survey on Energy Efficient Clustering in Wireless Sensor Network

International Journal of Engineering Research and Technology (IJERT), 2016

https://www.ijert.org/survey-on-energy-efficient-clustering-in-wireless-sensor-network https://www.ijert.org/research/survey-on-energy-efficient-clustering-in-wireless-sensor-network-IJERTV5IS041124.pdf Wireless Sensor Network has become progressively more demanding and has found their way into a variety of ways of application in real world. Wireless Sensor Network (WSN) consists of several small nodes called sensor, each capable of sensing, computing and transmitting of sensed real world information. As sensor nodes rely on the non-rechargeable energy source i.e. Small Battery, so energy consumption is a big issue here. Clustering is proved to be a good way to manage energy decapitation of WSN.

Survey on Energy Efficient Clustering in Wireless Sensor Network

International Journal of Engineering Research and, 2016

Wireless Sensor Network has become progressively more demanding and has found their way into a variety of ways of application in real world. Wireless Sensor Network (WSN) consists of several small nodes called sensor, each capable of sensing, computing and transmitting of sensed real world information. As sensor nodes rely on the non-rechargeable energy source i.e. Small Battery, so energy consumption is a big issue here. Clustering is proved to be a good way to manage energy decapitation of WSN.

Energy Efficient Clustering Scheme for Wireless Sensor Networks: A Survey

Journal of Wireless Networking and Communications, 2013

Wireless sensor networks are application specific networks co mposed of large number of sensor nodes. Limited energy resource of sensor nodes make efficient energy consumption of nodes as main design issue. Energy efficiency is achieved from hardware level to network protocol levels. Clustering of nodes is an effective approach to reduce energy consumption of nodes. Clustering algorith ms group nodes in independent clusters. Each cluster has atleast one cluster head. Nodes send data to respective cluster heads. Cluster heads send data to base station. Clustering algorith ms prolong network lifetime by avoiding long distance communicat ion of nodes to base station. In literature various clustering approaches are proposed. Work of this paper discusses working o f few of them and distinguishes them according to operational mode and state of clustering. Work of this paper helps to understand classification of clustering schemes.

Survey on Energy Efficient Clustering and Routing Protocols of Wireless Sensor Network

2019

The past few years have witnessed increased interest in the potential use of wireless sensor networks (WSNs) in a wide range of applications and it has become a hot research area. However, the resource constrained nature of sensors raises the problem of energy. This paper focus on the detailed survey on major clustering techniques. This article strongly examines about the advantages and limitations of different routing protocol with its recent research issues. Here research work carried out by different researcher in this field of WSN is also detailed. This paper summarizes all set of routing algorithms with comparison of on the basis advantage and disadvantages of each algorithm. KeywordsCloud Computing, Load balancing, Machine Learning, Soft Computing, Virtual machines.

CLUSTERING IN WIRELESS SENSOR NETWORK

IJRCAR, 2014

Wireless sensor network consists of many tiny sensor nodes. Energy, bandwidth, processing power and memory nodes are limited. Hence reducing power consumption, increasing the network lifetime and scalability are the main challenges in sensor networks. Cluster based routing protocols are the most useful schemes for extending Wireless Sensor Networks lifetime through dividing the nodes into several clusters and electing of a local cluster head for aggregating of data from cluster nodes and transmitting a packet to Base Station. However, there are several energy efficient cluster-based methods in the literature. In this paper, we will review clustering in wireless sensor networks and LEACH algorithm

Clustering and Energy Efficiency in Wireless Sensor Networks: A Study

—A wireless sensor network comprises a number of small sensors that communicate with each other. Each sensor collects the data and communicates through the network to a single processing center that is a base station. The communication of node and process of message passing consumes energy. This energy consumption by the nodes to transmit data decreases the network lifetime significantly. Clustering is by far the best solution to save the energy consumption in the context of such network. Clustering divides the sensors into groups, so that sensors communicate information only to cluster heads and then the cluster heads communicate the aggregated information to the processing center so as to save energy. This paper studies and discusses various dimensions and approaches of some broadly discovered algorithms for clustering. It also presents a comparative study of various clustering algorithms and discussion about the potential research areas and the challenges of clustering in wireless sensor networks.

Performance Analysis of Energy Efficient Clustering Algorithms for Wireless Sensor Network

Ijca Special Issue on Wireless Communication and Mobile Networks, 2012

Wireless sensor networks (WSN) are emerging in various fields like wildlife monitoring, mining industries, security surveillance. The efficiency of sensor networks strongly depends on the routing protocol used. Routing protocols providing an optimal data transmission route from sensor nodes to sink to save energy of nodes in the network. This paper presents simulation results of existing clustering algorithms for heterogeneous wireless sensor network. The simulation results show how the election criteria for cluster heads election such as random election and nodes with different energy level affect the number of cluster heads elected, and the network lifetime. In this paper, we analyze three different types of routing protocols: LEACH, SEP, and TEEN. Simulation results are provided to show the comparative effectiveness of different clustering algorithm on network lifetime and cluster head selection and failure nodes in the network. Sensor networks are simulated using MATLAB simulator.