Optimized and Dynamic Selection of Cluster Head Using Energy Efficient Routing Protocol in WSN

Shyjith, M. B.; Maheswaran, C. P.; Reshma, V. K.

doi:10.1007/s11277-020-07729-w

Cited by 54 publications

(51 citation statements)

References 25 publications

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“…Recent researches have proposed energy-efficient selection of CHs in WSNs that are picked out comparing the energy level of the nodes. In [36], the authors devised an efficient CH-selection scheme that rotates the CH positions over the time among the IoT devices with higher residual energy, whereas in [37] an hybrid optimization algorithm with multiobjective constraints (involving distance, energy, and delay) is presented. Both approaches showed good performance in terms of energy utilization and network lifetime.…”

Section: Sdn-based Wsn With Clusteringmentioning

confidence: 99%

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

et al. 2021

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Software-Defined Networking (SDN) and Blockchain are leading technologies used worldwide to establish safe network communication as well as build secure network infrastructures. They provide a robust and reliable platform to address threats and face challenges such as security, privacy, flexibility, scalability, and confidentiality. Driven by these assumptions, this paper presents an optimized energyefficient and secure Blockchain-based software-defined IoT framework for smart networks. Indeed, SDN and Blockchain technologies have proven to be able to suitably manage resource utilization and to develop secure network communication across the IoT ecosystem. However, there is a lack of research works that present a comprehensive definition of such a framework that can meet the requirements of the IoT ecosystem (i.e. efficient energy utilization and reduced end-to-end delay). Therefore, in this research, we present a layered hierarchical architecture for the deployment of a distributed yet efficient Blockchain-enabled SDN-IoT framework that ensures efficient cluster-head selection and secure network communication via the identification and isolation of rouge switches. Besides, the Blockchain-enabled flow-rules record keeps track of the rules enforced in the switches and maintains the consistency within the controller cluster. Finally, we assess the performance of the proposed framework in a simulation environment and show that it can achieve optimized energy-utilization, end-to-end delay, and throughput compared to considered baselines, thus being able to achieve efficiency and security in the smart network.

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Section: Sdn-based Wsn With Clusteringmentioning

confidence: 99%

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

et al. 2021

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“…The location update of the follower is determined based on the coordinate cluster head selector for the accurate estimation in P and is specified in Eq. (7).…”

Section: Fusion Rider Optimization Algorithm (F-roa)mentioning

confidence: 99%

“…The evolution of sensors has made WSN currently available in a compact SN format with wireless networking hardware [6]. LEACH-C or centralized LEACH is an enhanced form of LEACH that uses the simulated annealing technique to choose optimal cluster head nodes [7]. In general, the grey wolf optimization algorithm (GWOA) can prevent local optimal control detection stagnation.…”

Section: Introductionmentioning

confidence: 99%

OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection

Nageswari¹,

Maheswar²,

Jayarajan³

2022

Intelligent Automation &Amp; Soft Computing

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Clustering is the most popular strategy for increasing the lifetime of a wireless sensor network, which immediately leads to a stronger routing process. This process requires the processing of sensor nodes into clusters and assigning relevant cluster heads to each cluster. This paper aims to implement a new hybrid algorithm called Over taker Assisted Political Update (OA-PU) for selecting an efficient cluster head. This cluster head is selected based upon four factors, namely energy, distance, cluster radius, and time. The hybrid algorithm is a combination of the Fusion Rider Optimization Algorithm (F-ROA) as well as a natureinspired Political Optimization Algorithm (PO). Fusion-ROA depends on groups of riders that are attempting to reach the goal and PO is a state of the art metaheuristic optimization methodology for global and structural analysis performance prediction in the WSN environment. In terms of alive node analysis, cost function analysis, and energy analysis, the proposed OA-PU outperforms conventional approaches. Consequently, the lifetime of WSN is increased and an optimal system is developed.

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“…This motivates many researchers to work on this issue. There are many approaches that aim to reduce energy consumption for the networks, including data processing, battery management, energy harvesting, sensor distribution, especially, energy-efficient routing methods to save energy for prolonging the network lifetime [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

Nguyen

et al. 2021

Electronics

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Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

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Optimized and Dynamic Selection of Cluster Head Using Energy Efficient Routing Protocol in WSN

Cited by 54 publications

References 25 publications

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

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