Coal face wireless sensor network physical layer design based on UWB technology

2008 ◽  
Author(s):  
Song Jin-ling ◽  
Wang Gang ◽  
Liu Hong-yan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Physical Layer ◽  
Wireless Sensor ◽  
Coal Face

Self-Correcting Time Synchronization Based on Cross Layer for Wireless Sensor Network

2012 ◽  
Vol 220-223 ◽  
pp. 1871-1876
Author(s):  
Feng Mei Liang ◽  
Bin Liu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Time Synchronization ◽  
Mac Protocol ◽  
Physical Layer ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Synchronization Mechanism ◽  
Synchronization Algorithm ◽  
Crystal Oscillation

Due to energy restrictions, node distribution density and hardware computing power etc., the traditional time synchronization mechanism is not suitable for wireless sensor network. The paper discussed the main reason that caused asynchronization and proposed an improved time synchronization algorithm based on cross layer optimization for wireless sensor network. Considering the stability of crystal oscillation and the linearity of crystal deviation in the physical layer, the improved time synchronization mechanism implemented a self-correction by the cross-layer MAC protocol. Estimating the crystal oscillation drift, the crystal deviation had been self-corrected just by a few times data broadcast. The experiment on the MCU Si1000 physical layer platform has demonstrated the practicability of the algorithm. The synchronization algorithm is able to keep a stable network operation in the way of extending the synchronization period and reducing the synchronization cost. The synchronization mechanism is applicable to the active acquisition network, especially the realtime one.

scholarly journals HTBIDS: Hybrid Trust Based Intrusion Detection System for Physical Layer in WSN

2021 ◽  
Vol 10 (1) ◽  
pp. 49-53
Keyword(s):  
Wireless Sensor Network ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Intrusion Detection System ◽  
Detection System ◽  
Physical Layer ◽  
Wireless Sensor ◽  
Network Communication ◽  
Detection Accuracy ◽  
Jamming Attack

In recent years, wireless sensor network (WSN) is the measure concern over network communication. A number of attacks are occurred at the time of network communication as result it hampers the smooth functionality, data flow and data transmission. In this article, we have proposed a trust-based intrusion detection system for physical layers attacks using DRI and Cross Check method. The HTBIDS is effective method to identify the abnormal nodes in wireless sensor network. The abnormal nodes are attacked by periodic jamming attack. We have considered the periodic jamming attack at physical layer for performance evaluation. Results show that HTBIDS performs better using detection accuracy (DA) and false alarm rate (FAR).

scholarly journals PHYSICAL LAYER SECURITY OF WIRELESS SENSOR NETWORK BASED ON OPPORTUNISTIC SCHEDULING

2020 ◽  
Vol 19 (1) ◽  
pp. 001
Author(s):  
Ivica Marjanović ◽  
Dejan Milić ◽  
Jelena Anastasov ◽  
Aleksandra Cvetković
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Physical Layer Security ◽  
Security Analysis ◽  
Physical Layer ◽  
Wireless Sensor ◽  
Opportunistic Scheduling ◽  
Wiretap Channels ◽  
Intercept Probability ◽  
The Impact

In this paper, a physical layer security analysis of wireless sensor network in the presence of an attacker, employing opportunistic scheduling approach, is presented. The intended as well as unintended transmission paths experience the Weibull fading. A novel analytical expression for the intercept probability is derived. In order to emphasize the advantages of the opportunistic scheduling approach, a comparative analysis with round-robin and optimal scheduling schemes is also given. The impact of a number of active sensors and the impact of fading channel conditions over main and wiretap channels on the intercept probabilities is obtained. The accuracy of theoretical results is confirmed by independent Monte Carlo simulation results.

Green Computing for Industrial Wireless Sensor Networks: Energy oriented Cross Layer Modelling

2021 ◽  
Vol 15 ◽  
Author(s):  
Mahendra Ram ◽  
Sushil Kumar ◽  
Arvind Kumar ◽  
Rupak Kharel
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Dissemination ◽  
Physical Layer ◽  
Green Computing ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Industrial Environment ◽  
Industrial Wireless Sensor Network ◽  
Network Environments

Background: Enabling industrial environment with automation is growing trend due to the recent developments as industry 4.0 centric production. The industrial wireless sensor network environments have a number of constraints, including densely deployed nodes, delay constraint for mechanical operation, and access constraints due to node position within instruments. The related literature have applied existing models of wireless sensor network in industrial environment without appropriate updating in the different layers of communication, which results in performance degradation in realistic industrial scenario. Method: This paper presents a framework for Energy Oriented Cross Layer Data Dissemination Path (E-CLD2 P) towards enabling green computing in industrial wireless sensor network environments. It is a cross-layer design approach considering deployment of sensors at the physical layer up to data dissemination at the network layer and smart services at application layer. In particular, an energy centric virtual circular deployment visualization model is presented focusing on physical layer signal transmission characteristics in industrial WSNs scenario. A delay centric angular striping is designed for cluster based angular transmission to support deadline constrained industrial operation in the WSNs environments. Algorithms for energy centric delivery path formulation and node’s role transfer are developed to support green computing in restricted access industrial WSNs scenario. Results: The green computing framework is implemented to evaluate the performance in a realistic industrial WSNs environment. Conclusion: The performance evaluation attests the benefits in terms of number of metrics in realistic industrial constrained environments.

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