Interference and Intrusion in Wireless Sensor Networks

O'Mahony, George D.; Curran, James T.; Harris, Philip J.; Murphy, Colin C.

doi:10.1109/maes.2020.2970262

Cited by 15 publications

(10 citation statements)

References 32 publications

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“…However, IoT WSN communication suffers several communication issues. This issue occurs repeatedly such as delay [191]- [193], interference [194]- [196], packet loss [197] and more [198], [199]. Therefore, to build a good IoT WSN problem, we must minimize communication problems and improve its communication (data transmission) over long-range coverage of the IoT WSN network.…”

Section: Communicationmentioning

confidence: 99%

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Hakim

Septiyana

Suwarno

2022

Journal of Robotics and Control

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In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its derivatives have become one of the most popular and important technological advancements. In IoT, all things and services in the real world are digitalized and it continues to grow exponentially every year. This growth in number of IoT device in the end has created a tremendous amount of data and new data services such as big data systems. These new technologies can be managed to produce additional value to the existing business model. It also can provide a forecasting service and is capable to produce decision-making support using computational intelligence methods. In this survey paper, we provide detailed research activities concerning Computational Intelligence methods application in IoT WSN. To build a good understanding, in this paper we also present various challenges and issues for Computational Intelligence in IoT WSN. In the last presentation, we discuss the future direction of Computational Intelligence applications in IoT WSN such as Self-Organizing Network (dynamic network) concept.

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Section: Communicationmentioning

confidence: 99%

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Hakim

Septiyana

Suwarno

2022

Journal of Robotics and Control

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“…• Space based WSNs [1] for e.g. Nanosatellite based WSNs, LEO (Leo Earth Orbit) based WSNs [30], indoor WSN in the ISS (International Space Station) [31].…”

Section: Wireless Networkmentioning

confidence: 99%

“…The resulting Cross Technology Interference (CTI) would result in packet drops and subsequent retransmissions which would cause latency and low spectral efficiency. Hence coexistence management schemes play a significant role in order to ensure the QoS of wireless networks in an already congested spectrum [1].…”

Section: Introductionmentioning

confidence: 99%

Coexistence Management in Wireless Networks-A Survey

Hasan

Khan

2022

IEEE Access

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The rapid proliferation of wireless networks poses a great challenge of effective coexistence management amongst a plethora of wireless communication protocol users that are co-located and contending for the ever scarce spectrum available. For effective spectrum utilization and optimum performance of existing wireless networks and for the realization of new wireless networks, coexistence management of the wireless spectrum is the key to ensure the performance of multiple wireless networks in close proximity. This paper provides a comprehensive review of state-of-the-art coexistence protocols in wireless networks. The paper not only discusses wireless interference detection techniques in detail but also provides various coping mechanisms to counter the interference.

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“…Godala and Vaddella established a long-term monitoring point in Beijing-Shanghai high-speed railway to monitor the force and deformation of the track system of the elevated station in real time through the fiber optic grating and video sensing technology [7]. OMahony et al proposed a noncontact longitudinal rail displacement online monitoring method based on the magnetostrictive principle [8]. Safe railway operation requires real-time monitoring of information along the railway line,…”

Section: Current Status Of Researchmentioning

confidence: 99%

Passive Wireless Sensor Network‐Based In‐Transit Health Status Monitoring for Railway Transportation

Wei¹,

Song

2021

Journal of Sensors

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In this paper, passive wireless sensor network technology is used to conduct in-depth research and analysis on the monitoring of the in-transit health status of railway transportation. Safety detection sensors, train communication networks, and other onboard devices organically constitute a train sensor network with comprehensive state sensing, information aggregation, and business collaboration. First, this paper analyzes the three-layer architecture of the sensing layer, network layer, and application layer of the train operation status safety detection sensor network. Based on analyzing the feasibility of Ethernet application in an onboard communication network, ring, multiring, and ladder-type sensor network structure schemes are designed. Next, the real-time performance and reliability of various sensor network structures are analyzed. First, the characteristics of bandwidth demand, priority, and importance of information transmission of each monitoring object are analyzed; then, the system utility function is established according to the bandwidth usage efficiency and communication demand of information transmission of each monitoring object; finally, the bandwidth allocation optimization model is solved by using a particle swarm optimization algorithm, and the remaining bandwidth resources are dynamically rationed on demand while ensuring the complete transmission of basic information of each monitoring object. Rail transit technology has profoundly affected and changed the travel and lifestyle of residents in the new era and will provide strong infrastructure support for the smooth advancement of new urbanization construction and development strategies. The remaining bandwidth resources are dynamically allocated on the premise of ensuring the complete transmission of basic information of each monitoring object. In summary, this paper presents a complete study on the optimal allocation of resources for wireless sensor networks dedicated to rail transit condition monitoring, starting from the perspectives of routing protocol optimization, data fusion rate optimization, and bandwidth dynamic allocation optimization to achieve the efficient use of limited resources. The achieved research results enrich the research content in the field of wireless monitoring of rail transit system conditions at home and abroad in a certain sense and will also provide theoretical and empirical support for practical practitioners, managers, and scholars of service condition monitoring of rail transit systems.

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Interference and Intrusion in Wireless Sensor Networks

Cited by 15 publications

References 32 publications

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

Coexistence Management in Wireless Networks-A Survey

Passive Wireless Sensor Network‐Based In‐Transit Health Status Monitoring for Railway Transportation

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