Controlling energy aware clustering and multihop routing protocol for <scp>IoT</scp> assisted wireless sensor networks

Neelakandan, S.; Perumal, Santhosh Kumar; Kallimani, Jagadish S.; Sakthi, U.; Bhargava, Sanjay; Meckanizi, Sangeetha

doi:10.1002/cpe.7106

Cited by 23 publications

(10 citation statements)

References 37 publications

(44 reference statements)

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“…The presence of heterogeneity poses a significant challenge in the implementation of intelligent Internet of Things (IoT) systems. The subject matter under consideration refers to wireless networks, with a special emphasis on the idea of Wireless Networks [2][3] [4]. An obstacle encountered within the realm of hardware for the Internet of Things (IoT) pertains to the incorporation of intelligent devices into intelligent systems.…”

Section: Iot Challenges and Prospectsmentioning

confidence: 99%

“…An illustrative counterexample highlighting the issues pertaining to node clustering in the Internet of Things (IoT) can be observed in a hypothetical situation where the clustering method exhibits inadequate scalability. In the context of a vast Internet of Things (IoT) network with numerous devices, the clustering algorithm may have difficulties in managing the substantial volume of data and processing demands [2]. Consequently, this might result in delayed reaction times and potential system malfunctions.…”

Section: Background and Related Workmentioning

confidence: 99%

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Untitled

2024

IJCNC

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IoT networking uses real items as stationary or mobile nodes. Mobile nodes complicate networking. Internet of Things (IoT) networks have a lot of control overhead messages because devices are mobile. These signals are generated by the constant flow of control data as such device identity, geographical positioning, node mobility, device configuration, and others. Network clustering is a popular overhead communication management method. Many cluster-based routing methods have been developed to address system restrictions. Node clustering based on the Internet of Things (IoT) protocol, may be used to cluster all network nodes according to predefined criteria. Each cluster will have a Smart Designated Node. SDN cluster management is efficient. Many intelligent nodes remain in the network. The network design spreads these signals. This paper presents an intelligent and responsive routing approach for clustered nodes in IoT networks. An existing method builds a new sub-area clustered topology. The Nodes Clustering Based on the Internet of Things (NCIoT) method improves message transmission between any two nodes. This will facilitate the secure and reliable interchange of healthcare data between professionals and patients. NCIoT is a system that organizes nodes in the Internet of Things (IoT) by grouping them together based on their proximity. It also picks SDN routes for these nodes. This approach involves selecting one option from a range of choices and preparing for likely outcomes problem addressing limitations on activities is a primary focus during the review process. Predictive inquiry employs the process of analyzing data to forecast and anticipate future events. This document provides an explanation of compact units. The Predictive Inquiry Small Packets (PISP) improved its backup system and partnered with SDN to establish a routing information table for each intelligent node, resulting in higher routing performance. Both principal and secondary roads are available for use. The simulation findings indicate that NCIoT algorithms outperform CBR protocols. Enhancements lead to a substantial 78% boost in network performance. In addition, the end-to-end latency dropped by 12.5%. The PISP methodology produces 5.9% more inquiry packets compared to alternative approaches. The algorithms are constructed and evaluated against academic ones.

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Section: Iot Challenges and Prospectsmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Untitled

2024

IJCNC

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“…In [27] developed a novel realistic adversary models for WSN for attack prevention and significant maintenance of network performance. The proposed two approaches are evaluated with consideration of distribution, effectiveness, and collaboration of protocols involved in the History Information Exchange Protocol (HIP) is in-line with HOP.…”

Section: Review Of the Data Transmission Mechanism In Wsnmentioning

confidence: 99%

“…Assume that there are n sensors in the network during the fusion process, and that i is the weight of the node. As a result, the equation shows the weight of all nodes as in equation (27),…”

Section: Lstm Model For the Secure Data Transmissionmentioning

confidence: 99%

Investigations on Iot Based Wsn With Swipt-noma Combination

Sixtus,

Muthu

2023

Preprint

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Wireless Communication provides the interconnection of different devices for the ubiquitous accessibility of intelligent capacity. Wireless Communication incorporates device interaction for the provision of sufficient capability in networking between intermediate devices. Conventionally, the Internet of Things (IoT) and Wireless Sensor Networks (WSN) offer sufficient information between intermediate devices. IoT-WSN devices are resource constraints (RC), compact devices, and limited resources of battery. The increase in the number of users leads to challenges with security in the IoT-WSN. The data transmission between the wireless communications uses the 5G communication-based NOMA communication. Due to limited RC features the computational complexity is higher with minimal consumption of space those are evaluated with embedded hardware features within the IoT – WSN. This paper aimed to develop an appropriate optimal routing simultaneous wireless information and power transfer based Long Short-Term Memory (ORSS). The proposed ORSS model uses the covariance matrix-based routing and security model. The performance of the proposed ORSS is evaluated for security analysis based on consideration of different attacks. With the ORSS model, the position of nodes is computed with the covariance matrix estimation. To identify the optimal route’s Particle Swarm Optimization (PSO) algorithm is implemented for the route scheduling for the data transmission. To minimize the energy consumption within the network SWIPT is implemented for effective energy harvesting. Based on the covariance estimation optimal routes in the network are computed for the detection of attacks. The attacks are computed based on the utilization of LSTM model for the detection and classification of attacks with use of CICIDS datasets. The comparative analysis stated that the proposed ORSS exhibits ~40% higher data transmission and ~21% reduced delay compared with state-of-techniques.

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“…5 Furthermore, WMSN transmits the data using a certain routing protocol, such as shortest path routing and paths with less number of relay nodes (RNs). 6,7 One of the significant issues in WMSN is the existence of an energy hole, which increases the network's energy consumption. In multi-hop data transmission, the nodes execute different functions; thereby, it causes imbalanced energy usage.…”

Section: Introductionmentioning

confidence: 99%

Energy aware optimal routing model for wireless multimedia sensor networks using modified Voronoi assisted prioritized double deep Q‐learning

Suseela,

Krithiga,

Revathi

et al. 2023

Concurrency and Computation

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SummaryThe energy hole problem is critical in Wireless Multimedia Sensor Network (WMSN), wherein the nodes closer to the sink node will expire sooner than the outer sub‐regions. Because they transmit their packet and forward the outer sub‐regions packet to the sink. Hence, a hole arises near the sink node after a very short time. Thus, an energy‐aware optimal routing model is introduced in this research using Modified Voronoi‐assisted prioritized double deep Q‐learning (PDDQL). Initially, the sensor nodes are deployed using the Voronoi cell structure that splits the entire region of interest into different Voronoi polygons. However, the Voronoi diagram will not always predict an efficient route because of the nodes at a Voronoi edge or vertex outside the transmission range. To tackle this issue, a new Voronoi diagram is proposed that depends on the maximum horizontal transmission range to remove the portion of Voronoi edges uncovered by the sensor node. After the deployment, a PDDQL algorithm is used to select the Relay Nodes based on their remaining energy. The proposed PDDQL determines an alternate route to transmit the packet if an energy hole problem has occurred in WMSN. The analysis of a proposed routing protocol based on the assessment measures like packet delivery ratio, average residual energy, number of alive nodes, and average end‐to‐end delay accomplished the value of 198.33 (ms), 2.05 (J), 100, and 0.85, respectively.

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Controlling energy aware clustering and multihop routing protocol for IoT assisted wireless sensor networks

Cited by 23 publications

References 37 publications

Untitled

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Investigations on Iot Based Wsn With Swipt-noma Combination

Energy aware optimal routing model for wireless multimedia sensor networks using modified Voronoi assisted prioritized double deep Q‐learning

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