A Survey on Energy Efficient Clustering Protocols in Wireless Sensor Networks

Farooq, Nazia; Jawad, Mohammad Abdul

doi:10.5120/ijca2018917027

Cited by 5 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After determining if parents are fit to split, the number of children per parent has to be determined as in (6). Then every child location is determined as in (7), where a random value is selected from the range 1 to dm and multiplied by cos  to get x position and sin  to get y position.…”

Section: Pnmentioning

confidence: 99%

Fitness function X-means for prolonging wireless sensor networks lifetime

Radwan

Abdellatif²,

Radwan³

et al. 2023

IJECE

View full text Add to dashboard Cite

X-means and k-means are clustering algorithms proposed as a solution for prolonging wireless sensor networks (WSN) lifetime. In general, X-means overcomes k-means limitations such as predetermined number of clusters. The main concept of X-means is to create a network with basic clusters called parents and then generate (j) number of children clusters by parents splitting. X-means did not provide any criteria for splitting parent’s clusters, nor does it provide a method to determine the acceptable number of children. This article proposes fitness function X-means (FFX-means) as an enhancement of X-means; FFX-means has a new method that determines if the parent clusters are worth splitting or not based on predefined network criteria, and later on it determines the number of children. Furthermore, FFX-means proposes a new cluster-heads selection method, where the cluster-head is selected based on the remaining energy of the node and the intra-cluster distance. The simulation results show that FFX-means extend network lifetime by 11.5% over X-means and 75.34% over k-means. Furthermore, the results show that FFX-means balance the node’s energy consumption, and nearly all nodes depleted their energy within an acceptable range of simulation rounds.

show abstract

Section: Pnmentioning

confidence: 99%

Fitness function X-means for prolonging wireless sensor networks lifetime

Radwan

Abdellatif²,

Radwan³

et al. 2023

IJECE

View full text Add to dashboard Cite

show abstract

“…The LEACH-C method is used to create clusters and cluster heads at first. The most significant limitation of this protocol is that, once formed, clusters cannot be modified and additional nodes cannot be added to clusters in which nodes have been removed owing to loss of energy [54]. With the improved V-LEACH process [55], the cluster now has both a CH and a vice-CH.…”

Section: Single-hopmentioning

confidence: 99%

Conceptual Framework and Comparative Study on Energy-Efficient Routing Protocols in WSN with Special Emphasis on Swarm Intelligence Approaches

2023

IJSER

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are gaining popularity due to their low cost and ease of maintenance and management. One of the most challenging issues in WSN is energy conservation. The clustering strategy has the potential to extend the lifespan of WSNs. The selection of Cluster Head (CH) in each cluster is regarded as the capable approach for energy efficient routing in the clustering model, which reduces the transmission latency in the WSN. As a result, the routing method between nodes and sinks must take into account the efficient use of energy. In Low-Energy Adaptive Clustering Hierarchy (LEACH), direct data connection from source cluster head to sink is addressed, leading to inequitable energy consumption of cluster heads CHs and network routing gaps. In this paper, the conceptual framework of clustering in wireless sensor networks based on traditional and optimization categories is explored. In addition, the most relevant up-to-date researches in routing protocols are presented. The study presents a new taxonomy for categorizing current hierarchical energy efficiency routing protocols for WSNs and examines their functionality and performance. Next, the study examines current routing protocols in WSNs, ranging from traditional routing protocols to swarm intelligence-based protocols. LEACH variations are discussed using a taxonomy based on distinct classes, residual energy, centralization, distance, mobility, energy efficiency, and so on. The CH selection, hop count, mobility, scalability, energy efficiency, topology, and deployment are all compared in detail. Finally, Energy efficiency, data aggregation, location awareness, QoS, scalability, load balancing, fault tolerance, query based, and multipath are summarized for the hierarchical routing protocols that fall into both classes.

show abstract

“…So there is a requirement of some techniques or strategies which minimizes energy consumption. Basically, routing protocols of clustering technique are applied for gaining higher energy efficiency and for enhancing network life-time also [3]. WSNs provides many real-time applications such as target tracking, gas pipeline observation, environmental and agriculture monitoring, habitat observation, building monitoring, military monitoring, and so on [4,5].…”

Section: Introductionmentioning

confidence: 99%

Multi-clustered Energy Level based Efficient Routing Protocol in Wireless Sensor Network

Shrivastava¹,

Verma²

2018

IJCA

View full text Add to dashboard Cite

Wireless sensor network (WSN) is an active research domain as well as innovative concepts are introduced regularly. Due to onetime battery back, the energy efficiency of WSN has become critical issue, because battery recharge or replacement is not possible after deployment of the network and they work until battery dead. Many recent applications of Internet of things (IoT) are extensively applying sensor based applications. In this paper, an innovative concept of energy level calculation of sensor node is introduced for cluster head selection to improve network lifetime. In this paper, MELBER a (multi-clustered energy level based efficient routing) protocol is proposed for WSN. The simulation result presents significant improvement of energy efficiency of WSN.

show abstract

A Survey on Energy Efficient Clustering Protocols in Wireless Sensor Networks

Cited by 5 publications

References 9 publications

Fitness function X-means for prolonging wireless sensor networks lifetime

Fitness function X-means for prolonging wireless sensor networks lifetime

Conceptual Framework and Comparative Study on Energy-Efficient Routing Protocols in WSN with Special Emphasis on Swarm Intelligence Approaches

Multi-clustered Energy Level based Efficient Routing Protocol in Wireless Sensor Network

Contact Info

Product

Resources

About