Design of an enhanced threshold sensitive distributed energy efficient clustering routing protocol for WSN-based IoT

Omran, Nahla F.; Abdelnapi, Noha MM.; Mohamed, Eman Mousa; Labib, Nevine Makram

doi:10.1080/00207217.2022.2087919

Cited by 4 publications

(3 citation statements)

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“…The letters H and L stand for highpass sifting and lowpass separating on lines and segments, respectively. Equation 13 depicts the procedure in the proposed model: 𝐿𝐿(x, 𝑦) = p(x, y) + p(x, y + 1) + p(x + 1, y) + p(x + 1, y + 1) 2 𝐻𝐻(𝑥, 𝑦) = p(x,y)−p(x,y+1)−p(x+1,y)+p(x+1,y+1) 2 (13) Equation ( 14) depicts the SWIPT's data constellation points.…”

Section: Centralized Cluster Head Selection With Covariance Estimationmentioning

confidence: 99%

“…Thus, in-situ fire detection which has been spread rapidly are chosen as reference point for designing ecological WSN. As application is of low in cost, sensor nodes sustains a lengthy maintenance-free checking time, and supports straightforward reliable dissemination scheme [13]. Both physical weight and size are important, particularly the transporting way for backpack dissemination.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Centralized Cluster Head Selection With Covariance Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigations on Iot Based Wsn With Swipt-noma Combination

Sixtus,

Muthu

2023

Preprint

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“…Several studies have proposed developing an energy-efficient routing protocol to balance energy consumption, including the clustering algorithm [8], using gateway nodes [9], data aggregation [10], and an optimal node distribution [11].…”

Section: Introductionmentioning

confidence: 99%

Gateway based Multi-hop Enhanced Stable Election Protocol for WSN-based IoT

Abdelnapi

Omran

Mohamed

2022

Preprint

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Wireless Sensor Networks (WSNs) are an essential component in the Internet of Things (IoT)-based applications because they gather the sensed data from the IoT environment. WSNs consist of nodes that contain sensing units to detect required information. Each sensor has a limited amount of energy, but this energy is exhausted as transmission occurs. To reduce the transmission energy consumption between the sender and the receiver, a hybrid and multi-hop routing protocol known as Gateway-based Multi-hop Enhanced Stable Election Protocol (M-GESEP) for WSN-based IoT is proposed in this paper. The monitoring area is divided into regions in which the communication of sensor nodes with Base Station (BS) is hybrid ( i.e., some nodes communicate data directly while others use the clustering algorithm to send their data). The simulation result demonstrates that the proposed M-GESEP can improve the network lifetime by 45%, 35%, and 38% of the SEP, EDEEC, and ESEP protocols.

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