A joint hybrid corona based opportunistic routing design with quasi mobile sink for IoT based wireless sensor network

Thyagarajan, Jayavignesh; Kulanthaivelu, Suganthi

doi:10.1007/s12652-020-02116-6

Cited by 12 publications

(4 citation statements)

References 27 publications

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“…At the same time, the data query technology of the sensor network is studied, and the method to realize the continuous query processing that can be dynamically adjusted and the method to manage multiple queries on the sensor network are proposed, and a sensory database system is developed. Thyagarajan and Kulanthaivelu [18] proposed to combine fuzzy logic in wireless sensor networks to select cluster head nodes. This method is also an improvement based on the LEACH algorithm, which is mainly reflected in the clustering phase, while the stable operation phase is consistent with the LEACH algorithm.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Low‐Latency and High‐Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities

Guo

2021

Journal of Sensors

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This paper first analyzes the existing optimization models and methods based on low-latency and high-concurrency 5G wireless sensor networks and focuses on some research results based on the physical layer, data link layer, and network layer. After that, the energy-constrained cross-layer optimization algorithm of the joint physical layer and network layer and the cross-layer optimization algorithm based on reliable transmission are analyzed and compared. According to the ideological and political education cycle and network connectivity of wireless sensor networks, the existing definition of the ideological and political education cycle of wireless sensor networks was questioned and its irrationality was demonstrated. Firstly, we introduce the system model, energy capture model, and energy consumption model of this scheme; then, calculate the energy consumption of the node sending and receiving data and analyze the maximum throughput that the node can provide for data transmission to perform mathematical modeling. In a balanced ideological and political education cycle, the optimal solution is given. Finally, it introduces distributed high-throughput routing for EH-WSNs based on low latency and high concurrency and gives a performance comparison with the shortest path routing scheme. The energy consumption of each part of the node is analyzed in a comprehensive and in-depth manner, and the direction of the energy optimization strategy of the network node and its sensor network is pointed out. On this basis, this article proposes a new definition of the network ideological and political education cycle: the ideological and political education cycle of the wireless sensor network is equal to the ideological and political education cycle of the first joint in the network that fails due to energy exhaustion. Based on this definition, the wireless sensor network is analyzed, and the cross-layer (physical layer, data link layer, and network layer) optimization mathematical model of the wireless sensor network ideological and political education cycle is established. The two data collection schemes proposed in this paper are simulated under the conditions of no-delay ideological and political education cycle and different time-delayed ideological and political education cycles. The simulation results show that the model is better than both in terms of network life and data integrity.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Low‐Latency and High‐Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities

Guo

2021

Journal of Sensors

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“…The proposed protocol showed the enhancement of network lifetime with the decrement of energy consumption. A joint hybrid corona-based opportunistic routing design with quasi mobile sink (hybrid COR-QMS) in WSN (wireless sensor networks) for addressing the security issues was established by Thyagarajan et al [14]. The packet delivery ratio and energy consumption were considered as a parameter for getting good performance.…”

Section: Literature Surveymentioning

confidence: 99%

HFTDAO: Hybrid Fuzzy-based Tasmanian Devil Arithmetic Optimization for Trust worthy Data Communication in the WSN

TF,

et al. 2024

Preprint

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Wireless sensor networks (WSN) play a significant role in various applications as a communication framework in the field of the Internet of things (IoT). Secure data communication over unsteady wireless connections becomes the main concern in WSN. In order to assure reliable and secure data delivery, numerous research works use authentication-based opportunistic routing protocols. However, it is identified that opportunistic routing protocols are more susceptible to cyber security attacks; particularly, Denial of service (DoS) attacks which causes network failures by disrupting the normal operation of the wireless network. Therefore, in this paper, we propose a novel trust-based routing protocol to safeguard the network from DoS attacks by providing better reliability and authenticity to the wireless channels. The proposed hybrid fuzzy-based Tasmanian devil arithmetic optimization (HFTDAO) algorithm analyzes the historic data information of wireless links and selects the optimal routing channel based on link trust. The novelty of the HFTDAO algorithm is, it utilizes the exploration ability of the Tasmanian devil algorithm and the exploitation ability of arithmetic optimization to enhance the searching ability of the algorithm; the exploring behavior is mechanically shifted among them by means of the tendency factor. In contrast to existing routing protocols, the proposed trust-based opportunistic routing protocol enhances the effectiveness of data delivery. The utilization of mutual authentication algorithm avoids invalid or unreliable data communication directed by DoS attacks and thus provides better data integrity. Also, the verification scheme performed before data delivery speeds up the isolation process of the DoS attack. The efficiency of the proposed model is compared with the existing techniques in terms of different performance metrics such as using different performance measures including PDR (Packet Delivery Ratio), the number of verifications, end-to-end latency, and control packet overhead. When compared to other approaches, the proposed HFTDAO algorithm has a very high throughput value, DoS attack identification rate, and packet delivery ratio.

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“…Wireless sensor network-based technology is an emerging technology, and although there are differences in the areas of application, the concept of digitalization and information technology fits with the one-stop service for large sporting events. It is important to explore the correlation between the two in-depth studies and to clarify the significance of their integration [11].…”

Section: Optimization Of Sports Event Managementmentioning

confidence: 99%

Optimization of Sports Event Management System Based on Wireless Sensor Network

et al. 2021

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In recent years, wireless sensor network technology has developed rapidly and its role in managing systems for sports events has been widely used. Wireless sensor networks not only have low wiring cost, high monitoring accuracy, and good fault tolerance but also can be monitored remotely and have outstanding advantages in fault diagnosis and safety monitoring. In this paper, firstly, the wireless sensor network hierarchical routing protocol is studied and its network model and workflow are analyzed; according to the energy consumption of the wireless sensor network, the selection method of the optimal number of cluster heads is proposed to analyze the advantages and disadvantages existing in the protocol. Secondly, the improvement of the routing protocol is proposed to address the problems of uneven distribution of cluster heads and cluster head election without considering the residual energy of nodes in the protocol. When dividing clusters, the number of neighboring nodes is considered so that cluster heads are distributed more evenly in the network; when electing cluster heads, the residual energy of nodes in the cluster is considered to balance the whole network load, and when electing cluster heads, the residual energy of nodes in the cluster is considered to balance the whole network load. Finally, simulation experiments are conducted in this paper using simulation software, and the simulation results show that the data fusion algorithm is more effective than the protocol in reducing the average energy consumption of nodes and extending the network lifetime; these features make wireless sensors more beneficial for better management of sporting events as well as better optimization.

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A joint hybrid corona based opportunistic routing design with quasi mobile sink for IoT based wireless sensor network

Cited by 12 publications

References 27 publications

[Retracted] Low‐Latency and High‐Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities

[Retracted] Low‐Latency and High‐Concurrency 5G Wireless Sensor Network Assists Innovation in Ideological and Political Education in Colleges and Universities

HFTDAO: Hybrid Fuzzy-based Tasmanian Devil Arithmetic Optimization for Trust worthy Data Communication in the WSN

Optimization of Sports Event Management System Based on Wireless Sensor Network

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