Some Issues in Clustering Algorithms for Wireless Sensor Networks (original) (raw)
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Energy Efficient Clustering Techniques for Wireless Sensor Networks-A Review
International Journal of Scientific Research and Management, 2017
The applications of Wireless Sensor Networks (WSNs) are growing at rapid pace and providing pervasive computing environments. Energy constraints is the most critical issue in sensor applications and that needs be optimized to prolong the life of resource constrained sensor network. Clustering is an efficient technique to group the sensor nodes of entire network into number of clusters to support high scalability and provide better data aggregation by efficient utilization of limited resources of sensor nodes and that prolongs network lifetime. In this paper, some widely explored clustering algorithms in WSNs are discussed on several aspects and characteristics such as clustering timings, clustering attributes, convergence rate etc. The advantages and disadvantages of corresponding clustering algorithms are also explained with suitable examples. The paper finally concludes with discussion on the challenges of clustering in WSNs with mentioning the future research topics.
Energy Efficient Clustering in Wireless Sensor Network
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 usi...
Survey on Recent Clustering Algorithms in Wireless Sensor Networks
2013
The use of wireless sensor networks (WSNs) has grown enormously in the last decade, pointing out the crucial need for scalable and energy-efficient routing and data gathering and aggregation protocols in corresponding large-scale environments. To maximize network lifetime in Wireless Sensor Networks (WSNs) the paths for data transfer are selected in such a way that the total energy consumed along the path is minimized. To support high scalability and better data aggregation, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters. Clusters create hierarchical WSNs which incorporate efficient utilization of limited resources of sensor nodes and thus extends network lifetime. The objective of this paper is to present a survey on clustering algorithms reported in the literature of WSNs. This paper presents taxonomy of energy efficient clustering algorithms in WSNs.
Energy Efficient Clustering Algorithms for Wireless Sensor Networks
ICC Workshops - 2008 IEEE International Conference on Communications Workshops, 2008
In last few years, wireless sensor networks has gain much attention to the traditional areas and researchers. WSN continue to be a very successful and powerful technology for monitoring physical phenomena of different areas and providing safety in dangerous or risky places for humans. Sensors are mainly low powered multi-functional devices which may or may not be randomly deployed to monitor different scenarios. These devices have less communication and computational capabilities that is why they have limited transmission range. The energy supply to these sensor nodes is provided by the power source which mainly consists of battery having limited energy. Replacement of battery sometimes could be troublesome due to the unpractical or hostile environment. In this paper, a detailed survey on the energy efficient clustering algorithms with special emphasis on some important issues related to the clustering is presented. This study concludes by giving the comparison between some of the energy efficient algorithms discussed in the literature.
Detailed Survey on Clustering Techniques in Wireless Sensor Networks
INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR), 2019
Wireless sensor networks are essentially attractive, but in fact, this feature makes them energy efficient as well as the result of this hard energy limit is the subject of this issue. We are also working. Ingesting of energy-managed nodes in the consumption of wireless sensor networks (WSNs) is a deadly softness in these n/w. Meanwhile, these nodes typically run on series, so determined utility network depends on the consumption of this energy. Though, novel emerging optimum energy ingesting algo's, protocols as well as system designs need an evaluation platform. This necessitates modeling methods that may type a quick as well as an accurate assessment of their behavior. To create a cluster aimed at routing, data management as well as communication management, division in the sensor network has proved to be a technique to confirm long-distance disposition as well as deal with inadequacies of sensor networks such as limited energy as well as small communication sequences. Choosing cluster heads inside every cluster is significant since cluster heads (CH) use their energy aimed at extra energy as well as this weight is closely related to the cluster of surrounding nodes. Numerous existing protocols either choose cluster headlights or procedure maximum continuing power of nodes.
A Survey on Clustering Algorithms for Wireless Sensor Networks
2010
A wireless sensor network (WSN)consisting of a large number of tiny sensors can be an effective tool for gathering data in diverse kinds of environments. The data collected by each sensor is communicated to the base station, which forwards the data to the end user. Clustering is introduced to WSNs because it has proven to be an effective approach to provide better data aggregation and scalability for large WSNs. Clustering also conserves the limited energy resources of the sensors. This paper synthesises existing clustering algorithms news's and highlights the challenges in clustering.
2024
The WSNs employ battery-powered sensors with limited energy, focusing on increasing network longevity through various techniques. The clustering algorithm focuses on improving network performance by optimizing energy usage. Within clustered Wireless Sensor Networks (WSNs), ordinary nodes collect data, relay it to cluster leaders, and subsequently dispatch it to the Base Station (BS). Clustering provides benefits such as the ability to handle larger loads, conserve energy, and minimize delays in data routing. This paper offers an extensive examination of clustering methods within the context of WSNs. The paper starts by outlining the goals of clustering, its key attributes, and its characteristics, followed by classifying clustering methods in WSNs based on network setups and methodologies. It also assesses recent clustering approaches, organizes them into different categories, and conducts a comparative analysis using a table.
IJERT-Energy Efficient Clustering Algorithms for Wireless Sensor Networks
International Journal of Engineering Research and Technology (IJERT), 2021
https://www.ijert.org/energy-efficient-clustering-algorithms-for-wireless-sensor-networks https://www.ijert.org/research/energy-efficient-clustering-algorithms-for-wireless-sensor-networks-IJERTCONV9IS05080.pdf Energy efficiency is a major concern in Wireless Sensor Networks (WSNs). Many clustering algorithms have been proposed for such a purpose. This paper investigates the existing clustering algorithms. The algorithms have been classified and some representatives are described in each category. After analyzing the strengths and the weaknesses of each category, an important characteristic of WSNs is pointed out for further improvement of energy efficiency for WSNs.
Energy Efficient Clustering Algorithms for Wireless Sensors Network: A Survey
2014
In last few years, wireless sensor networks has gain much attention to the traditional areas and researchers. WSN continue to be a very successful and powerful technology for monitoring physical phenomena of different areas and providing safety in dangerous or risky places for humans. Sensors are mainly low powered multi-functional devices which may or may not be randomly deployed to monitor different scenarios. These devices have less communication and computational capabilities that is why they have limited transmission range. The energy supply to these sensor nodes is provided by the power source which mainly consists of battery having limited energy. Replacement of battery sometimes could be troublesome due to the unpractical or hostile environment. In this paper, a detailed survey on the energy efficient clustering algorithms with special emphasis on some important issues related to the clustering is presented. This study concludes by giving the comparison between some of the energy efficient algorithms discussed in the literature.
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.