A survey on clustering techniques for cooperative wireless networks

Sucasas, Victor; Radwan, Ayman; Marques, Hugo; Rodrı́guez, Jonathan; Vahid, Seiamak; Tafazolli, Rahim

doi:10.1016/j.adhoc.2016.04.008

Cited by 63 publications

(21 citation statements)

References 48 publications

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“…Ideal models are picking up energy in 5G technology details, as they bring cloud local applications closer to end users and system associated things, empowering new classes of administrations with challenging execution necessities [1,2]. To satisfy the consistently expanding need for information moving, every telecommunication organization, just as worldwide institutionalization elements, are effectively driving the innovative work of the fifth generation of wireless communications [3,4,5].…”

Section: Introductionmentioning

confidence: 99%

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Clustering Research in Fifth Generation Mobile Communication Networks

Serdar

2020

Journal of Engineering Technology and Applied Sciences

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Clustering procedures are utilized to broaden the life of systems and increment vitality proficiency. In this study, some clustering algorithms and traffic expectations consider in 5G communication systems are inspected. There is a need to explain how to improve the nature of client experience through clustering. Understanding the requirements of clients is basic to give the capacity to help various situations in smart frameworks. Client mindfulness or client situated plan is a challenge in clustering. Inquires about have demonstrated that the usage of clustering plans in 5G systems presents difficulties and that clustering procedures created with insightful system determination arrangements can be of extraordinary advantage. The present investigations are not perfect in unique frameworks with a wide assortment of client situations since they are performed in both homogeneous and low-level heterogeneous systems and can't work. Also, when the 5G happens, the issue will turn out to be more mind-boggling than customarily rearranged. Different challenges identified with the execution of clustering methods in 5G networks are introduced and examined.

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Section: Introductionmentioning

confidence: 99%

“…Clustering in telecommunication frameworks, showed up in the system of specially appointed networking, which was proposed as a promising answer for infrastructure denied networks, for example, crisis communication power outages or to convey fit for wireless networks [3,6]. A clustering calculation can parcel sensors into various clusters.…”

Section: Introductionmentioning

confidence: 99%

Clustering Research in Fifth Generation Mobile Communication Networks

Serdar

2020

Journal of Engineering Technology and Applied Sciences

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“…Although the tree-based data collection structure can reduce the amount of data transmission, the fault tolerance and the balance of energy consumption are ruined at the same time. Since the cluster-based data collection structure presents many advantages over the flat structure and the tree-based structure [ 7 , 8 ], the CS-based clustered data collection schemes were studied comprehensively in the literature [ 9 , 10 , 11 , 12 , 13 , 14 ]. By carefully examining these schemes, we identify the following technical challenges that are still posed in the data collection problem of WSNs.…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Data Collection Scheme Based on Optimal Clustering for Wireless Sensor Networks

Chen

Peng

et al. 2018

Sensors

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In recent years, energy-efficient data collection has evolved into the core problem in the resource-constrained Wireless Sensor Networks (WSNs). Different from existing data collection models in WSNs, we propose a collaborative data collection scheme based on optimal clustering to collect the sensed data in an energy-efficient and load-balanced manner. After dividing the data collection process into the intra-cluster data collection step and the inter-cluster data collection step, we model the optimal clustering problem as a separable convex optimization problem and solve it to obtain the analytical solutions of the optimal clustering size and the optimal data transmission radius. Then, we design a Cluster Heads (CHs)-linking algorithm based on the pseudo Hilbert curve to build a CH chain with the goal of collecting the compressed sensed data among CHs in an accumulative way. Furthermore, we also design a distributed cluster-constructing algorithm to construct the clusters around the virtual CHs in a distributed manner. The experimental results show that the proposed method not only reduces the total energy consumption and prolongs the network lifetime, but also effectively balances the distribution of energy consumption among CHs. By comparing it o the existing compression-based and non-compression-based data collection schemes, the average reductions of energy consumption are 17.9% and 67.9%, respectively. Furthermore, the average network lifetime extends no less than 20-times under the same comparison.

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“…In fact, multipath routing approaches with multiple constraints have received considerable research interest. () However, it is still an open research area that is promising for more research work.…”

Section: Introductionmentioning

confidence: 99%

Rescue‐Sink: Dynamic sink augmentation for RPL in the Internet of Things

Khelifi

Nataf

Oteafy

et al. 2018

Trans Emerging Tel Tech

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The Internet of Things (IoT) is largely built on the interconnection of low‐power networked devices, generally referred to as low‐power and lossy networks (LLNs). The prime routing protocol designed over IPv6, named routing protocol for LLNs (RPL), presents the main effort to standardize an IPv6‐based routing protocol for all LLNs. Routing protocol for LLNs has gained significant prominence in IoT research due to its flexibility in adapting to different topologies and could run in agnostic replicas over the same network to serve different applications. However, as RPL is based on virtualizing a tree topology, many challenges ensue in scaling with network traffic and diverse traffic patterns in the IoT. The current RPL standard focus on operation under a single sink, toward which all traffic flows, and thereby its survivability determines the lifetime of the IoT network. However, it mentions briefly in its RFC6550, the using of multiple roots. However, it does not study when, where, and how deploying multiple roots. In this paper, we propose a dynamic Rescue Sink protocol, which actively monitors the performance of IoT nodes in a given RPL network and introduces a dynamic mechanism for mitigating RPL performance by introducing new sinks when needed. We define a suffering index computed over intervals by RPL nodes in a decentralized approach, which monitors their tendency to yield high traffic load without inducing control overhead. Furthermore, our Rescue Sink protocol is designed in line with the RPL standard, and we elaborate on all the components to integrate with the standard. We present a thorough evaluation of our Sink Rescue protocol, using the Cooja simulator over the Contiki OS, most prevalently used in IoT devices. We demonstrate the performance improvements in terms of energy consumption and data delivery.

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A survey on clustering techniques for cooperative wireless networks

Cited by 63 publications

References 48 publications

Clustering Research in Fifth Generation Mobile Communication Networks

Clustering Research in Fifth Generation Mobile Communication Networks

A Collaborative Data Collection Scheme Based on Optimal Clustering for Wireless Sensor Networks

Rescue‐Sink: Dynamic sink augmentation for RPL in the Internet of Things

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