Strengthening Clustering Through Relay Nodes in Sensor Networks

Chugh, Amit; Panda, Supriya P.

doi:10.1016/j.procs.2018.05.072

Cited by 23 publications

(11 citation statements)

References 19 publications

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“…The issue in cluster based routing is, the CH have to handle the load as head and also forward the packets to the next CH. To balance the workload of CHs, a modified Mutual Exclusive Distributive Clustering (MEDC) protocol is presented in Chugh and Panda (2018). Proposed work balanced the workload of cluster heads and enhanced the network lifespan.…”

Section: Cluster Based Routing Protocolsmentioning

confidence: 99%

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

al.¹

2021

Int. j. adv. appl. sci.

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The energy of nodes in Wireless Sensor Networks (WSNs) is usually limited, which has to be consumed economically in order to prolong the lifetime of the network. The imbalanced use degrades the sensor node energy quickly and leads to sensor voids, which further cause the routing hole problem. The routing hole problem ultimately affects network performance. To solve the routing hole problem, an Energy Efficient Least Edge Computation routing protocol (ELEC) is proposed in the literature. The simulation results show that ELEC achieves nearly double network lifetime by equal energy consumption in various parts of the network as compared to other existing routing techniques such as GRACE, LEACH, and AODV-EHA. This work presents a progressive Energy Efficient Least Edge Computation (P-ELEC) routing protocol, where a cluster head percentage is incremented periodically. Incrementing the cluster head minimizes the workload of each cluster head, and in turn, enhances the lifetime of the network. The simulation result shows the prolongation of a lifetime under various scenarios and modes of operation.

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Section: Cluster Based Routing Protocolsmentioning

confidence: 99%

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

al.¹

2021

Int. j. adv. appl. sci.

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“…Traditionally, clustering has been proposed to achieve network stability and scalability in order to improve network performance, such as throughput, the fairness of resource distribution and load balancing, as well as the lifetime of a CH, a cluster, or a network, while providing support for routing. Various surveys has been conducted on clustering schemes in different network types (i.e., cognitive radio [47,24], mobile ad-hoc [40,42], wireless sensor [39,41,45,48,50,51], vehicular ad-hoc [43,44], Internet of things (IoT) [46,49], and 5G [30]) in the literature. This paper focuses on clustering in access networks, rather than cell clustering in core networks.…”

Section: Our Contributionsmentioning

confidence: 99%

Survey and taxonomy of clustering algorithms in 5G

Khan

Yau

Noor

et al. 2020

Journal of Network and Computer Applications

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The large-scale deployment of fifth generation (5G) is expected to produce a massive amount of data with high variability due to ultra-densification and the rapid increase in a heterogeneous range of applications and services (e.g., virtual reality, augmented reality, and driver-less vehicles), and network devices (e.g., smart gadgets and sensors). Clustering organizes network topology by segregating nodes with similar interests or behaviors in a network into logical groups in order to achieve network-level and cluster-level enhancements, particularly cluster stability, load balancing, social awareness, fairness, and quality of service. Clustering has been investigated to support mobile user equipment (UE) in access networks, whereby UEs form clusters themselves and may connect to BSs. In this paper, we present a comprehensive survey of the research work of clustering schemes proposed for various scenarios in 5G networks and highlight various aspects of clustering schemes, including objectives, challenges, metrics, characteristics, performance measures. Furthermore, we present open issues of clustering in 5G.

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“…The cluster head plays an important role in any clustering algorithm. Essential functions like fusion and processing of data are performed at the head level of the network which consumes extra energy as compared to sensing nodes [25]. The energy consumption is even larger for large scale scenarios where BS is located at a distant place.…”

Section: Related Workmentioning

confidence: 99%

Hybrid heterogeneous routing scheme for improved network performance in WSNs for animal tracking

et al. 2019

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Wireless Sensor Networks (WSNs) experiences several technical challenges such as limited energy, short transmission range, limited storage capacities, and limited computational capabilities. Moreover, the sensor nodes are deployed randomly and massively over an inaccessible or hostile region. Hence WSNs are vulnerable to adversaries and are usually operated in a dynamic and unreliable environment. Animal tracking using wireless sensors is one such application of WSN where power management plays a vital role. In this paper, an energy-efficient hybrid routing method is proposed that divides the whole network into smaller regions based on sensor location and chooses the routing scheme accordingly. The sensor network consists of a base station (BS) located at a distant place outside the network, and a relay node is placed inside the network for direct communications from nodes nearer to it. The nodes are further divided into two categories based on the supplied energy; such that the ones located far away from BS and relay have higher energy than the nodes nearer to them. The network performance of the proposed method is compared with protocols like LEACH, SEP, and SNRP, considering parameters like stability period, throughput and energy consumption. Simulation result shows that the proposed method outperforms other methods with better network performance.

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Strengthening Clustering Through Relay Nodes in Sensor Networks

Cited by 23 publications

References 19 publications

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

Progressive energy efficient least edge computation (P-ELEC) routing protocol in wireless sensor networks

Survey and taxonomy of clustering algorithms in 5G

Hybrid heterogeneous routing scheme for improved network performance in WSNs for animal tracking

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