A distributed data secure transmission scheme in wireless sensor network

Liang, Wei; Huang, Yin; Xu, Jianbo; Xie, Songyou

doi:10.1177/1550147717705552

Cited by 17 publications

(8 citation statements)

References 26 publications

(29 reference statements)

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“…O 4 is the backward neighboring region. Based on the geometric principle, the intersection angles of O 1 , O 2 , O 3 , and O 4 are, respectively, u 1 , u 2 , u 3 , and u 4 , which satisfy equation (6).…”

Section: Weighted Partitionmentioning

confidence: 99%

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

Zhu

Zheng

Huang

et al. 2019

Advances in Mechanical Engineering

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With the rapid development of industrial Internet of Things, the secure transmission of nodes in Internet of Things is easily attacked by malicious nodes at all times, thereby causing a great threat to network performance and security of industrial Internet of Things. To improve the security and success rate of data transmission in industrial Internet of Things environment, this work proposes a data transmission scheme based on the weighted security partition model by considering the requirements of a hostile industrial environment. The weighted security partition of the nodes determines the secret distribution model. On this basis, a secure authentication scheme for network transmission is proposed for industrial Internet of Things to prevent the data from being tampered by malicious industrial nodes. Authority access control is added to the authentication scheme. The network access authority of users is used to eliminate the access of malicious users. Finally, the simulation experiments and performance evaluation are conducted and compared with other secure transmission algorithms. Results show that, by comparing to low-energy adaptive clustering hierarchy and distributed data secure transmission, the transmission rate of the proposed algorithm has increased by 35% and 25%, and the lifetime has increased by 34.3% and 37.3%, respectively.

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Section: Weighted Partitionmentioning

confidence: 99%

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

Zhu

Zheng

Huang

et al. 2019

Advances in Mechanical Engineering

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show abstract

“…All the autonomous nodes were allowed to visit the chosen region based on minimum probability of neighbourhood coverage distance to reduce the packet delay during data transmission. The introduced data gathering algorithm was focused on providing trade-off between data gathering delay and information gain based on transmission rounds.Liang et.al [4] implemented a secure transmission scheme with distributed data method to improve the network lifetime of WSN. The major building blocks of data transmission are divided into two types i.e.…”

Section: Literature Surveymentioning

confidence: 99%

Fuzzy Based Data Gathering Model for Improving Network Lifetime in ADHOC Networking

Deeba,

Tamizharasi,

Kumar

2019

IJEAT

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In Adhoc Wireless Sensor Networks (AWSN), nodes are moving with less or high mobility. It is very difficult to Quality of Service (QoS) to achieve network performance. Paths can be identified based on network model and stable route formation. In a cluster region, data gathering ratio can be easily achieved but difficult to reach maximum level. In existing schemes, balancing between data gathering and security was not attained. In this paper, Fuzzy based Secure Data Gathering Approach (FSDGA) is proposed based on TDMA based scheduling and Asymmetric key crypto model. This approach consists of three phases. In first phase, cluster formation and cluster head election is done based on calculation of remaining energy and stability of nodes. In second phase, secure routes are identified with constant key metrics. In third phase, Fuzzy integrated Data transmission phase is installed to protect the data from attackers and improve the data collection rate. The performance of FSDGA is analysed using simulation tool in terms of energy conservation rate, propagation delay, data confidential rate, control overhead and data gathering ratio.

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“…Paper [6] proved the occurrence of SNR patterns resulted by the joint effect of human motion and radio propagation, then it used the cross-correlation to predict (XCoPred) algorithm to predict link quality variation. Paper [18] proposed a link quality prediction model based on supervised learning.…”

Section: Related Workmentioning

confidence: 99%

“…Wireless sensor networks (WSNs) is multi-hop, self-organising network formed by a large number of inexpensive micro-sensor nodes which communicate with each other by radio [6]. Their purpose is to collaboratively sense, collect and process information about objects in the network coverage area and pass it on to an observer.…”

Section: Introductionmentioning

confidence: 99%

A novel link quality prediction algorithm for wireless sensor networks

Jia

Liu

et al. 2017

COMSIS J

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Ahead knowledge of link quality can reduce the energy consumption of wireless sensor networks. In this paper, we propose a cloud reasoning-based link quality prediction algorithm for wireless sensor networks. A large number of link quality samples are collected from different scenarios, and their RSSI, LQI, SNR and PRR parameters are classified by a self-adaptive Gaussian cloud transformation algorithm. Taking the limitation of nodes' resources into consideration, the Apriori algorithm is applied to determine association rules between physical layer and link layer parameters. A cloud reasoning algorithm that considers both short-and long-term time dimensions and current and historical cloud models is then proposed to predict link quality. Compared with the existing window mean exponentially weighted method, the proposed algorithm captures link changes more accurately, facilitating more stable prediction of link quality.

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A distributed data secure transmission scheme in wireless sensor network

Cited by 17 publications

References 26 publications

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

Fuzzy Based Data Gathering Model for Improving Network Lifetime in ADHOC Networking

A novel link quality prediction algorithm for wireless sensor networks

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