Link quality ranking: Getting the best out of unreliable links

2020 ◽

Vol 14 ◽

Author(s):

S. Mahima ◽

N. Rajendran

Keyword(s):

Fuzzy Logic ◽

Ad Hoc ◽

Link Quality ◽

Traffic Load ◽

Node Degree ◽

Communication Overhead ◽

Delivery Ratio ◽

Node Mobility ◽

Centralized Control ◽

Hop Count

: Mobile ad hoc networks (MANET) hold a set of numerous mobile computing devices useful for communication with one another with no centralized control. Due to the inherent features of MANET such as dynamic topology, constrained on bandwidth, energy and computing resources, there is a need to design the routing protocols efficiently. Flooding is a directive for managing traffic since it makes use of only chosen nodes for transmitting data from one node to another. This paper intends to develop a new Cluster-Based Flooding using Fuzzy Logic Scheme (CBF2S). To construct clusters and choose proper cluster heads (CHs), thefuzzy logic approach is applied with the use of three parameters namely link quality, node mobility and node degree. The presented model considerably minimizes the number of retransmissions in the network. The presented model instructs the cluster members (CM) floods the packets inside a cluster called intra-cluster flooding and CHs floods the packets among the clusters called inter-cluster flooding. In addition, the gateway sends a packet to another gateway for minimizing unwanted data retransmissions when it comes under different CH. The presented CBF2S is simulated using NS2 tool under the presence of varying hop count. The CBF2S model exhibits maximum results over the other methods interms of overhead, communication overhead, traffic load, packet delivery ratio and the end to end delay.

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Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666191026092311 ◽

2019 ◽

Vol 09 ◽

Cited By ~ 1

Author(s):

Premkumar Chithaluru ◽

Rajeev Tiwari ◽

Kamal Kumar

Keyword(s):

Energy Consumption ◽

Routing Protocols ◽

Energy Efficient ◽

Data Communication ◽

Opportunistic Routing ◽

Link Quality ◽

Delivery Ratio ◽

Performance Parameters ◽

Wireless Medium ◽

Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

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Reliability-Aware Multipath Routing of Time-Triggered Traffic in Time-Sensitive Networks

Electronics ◽

10.3390/electronics10020125 ◽

2021 ◽

Vol 10 (2) ◽

pp. 125

Author(s):

Kai Huang ◽

Xinming Wan ◽

Ke Wang ◽

Xiaowen Jiang ◽

Junjian Chen ◽

...

Keyword(s):

Fault Tolerance ◽

High Reliability ◽

Multipath Routing ◽

Shortest Path Routing ◽

Industrial Networks ◽

Negative Effect ◽

Routing Method ◽

No Wait ◽

Spatial Redundancy ◽

Unreliable Links

With the development of industrial networks, the demands for strict timing requirements and high reliability in transmission become more essential, which promote the establishment of a Time-Sensitive Network (TSN). TSN is a set of standards with the intention of extending Ethernet for safety-critical and real-time applications. In general, frame replication is used to achieve fault-tolerance, while the increased load has a negative effect on the schedule synthesis phase. It is necessary to consider schedulability and reliability jointly. In this paper, a heuristic-based routing method is proposed to achieve fault tolerance by spatial redundancy for TSNs containing unreliable links. A cost function is presented to evaluate each routing set, and a heuristic algorithm is applied to find the solution with higher schedulability. Compared to the shortest path routing, our method can improve the reliability and the success rate of no-wait scheduling by 5–15% depending on the scale of topology.

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QScored: An Open Platform for Code Quality Ranking and Visualization

2020 IEEE International Conference on Software Maintenance and Evolution (ICSME) ◽

10.1109/icsme46990.2020.00101 ◽

2020 ◽

Author(s):

Vishvajeet Thakur ◽

Marouane Kessentini ◽

Tushar Sharma

Keyword(s):

Open Platform ◽

Quality Ranking ◽

Code Quality

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Modeling the performance of the link quality hypothesis test estimator mechanism in wireless networks

Wireless Networks ◽

10.1007/s11276-021-02717-9 ◽

2021 ◽

Author(s):

Diego Passos ◽

Fernanda G. O. Passos ◽

Bruno dos Santos Silva ◽

Célio Albuquerque

Keyword(s):

Wireless Networks ◽

Hypothesis Test ◽

Link Quality

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Using vision-based object detection for link quality prediction in 5.6-GHz channel

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-020-01829-8 ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Riichi Kudo ◽

Kahoko Takahashi ◽

Takeru Inoue ◽

Kohei Mizuno

Keyword(s):

Deep Learning ◽

Object Detection ◽

Wireless Lan ◽

Autonomous Robots ◽

Learning Technologies ◽

Link Quality ◽

Automated Driving ◽

Position Information ◽

Prediction Scheme ◽

Accurate Perception

Abstract Various smart connected devices are emerging like automated driving cars, autonomous robots, and remote-controlled construction vehicles. These devices have vision systems to conduct their operations without collision. Machine vision technology is becoming more accessible to perceive self-position and/or the surrounding environment thanks to the great advances in deep learning technologies. The accurate perception information of these smart connected devices makes it possible to predict wireless link quality (LQ). This paper proposes an LQ prediction scheme that applies machine learning to HD camera output to forecast the influence of surrounding mobile objects on LQ. The proposed scheme utilizes object detection based on deep learning and learns the relationship between the detected object position information and the LQ. Outdoor experiments show that LQ prediction proposal can well predict the throughput for around 1 s into the future in a 5.6-GHz wireless LAN channel.

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Variable Link Performance Due to Weather Effects in a Long-Range, Low-Power LoRa Sensor Network

Sensors ◽

10.3390/s21093128 ◽

2021 ◽

Vol 21 (9) ◽

pp. 3128

Author(s):

Thomas Ameloot ◽

Patrick Van Torre ◽

Hendrik Rogier

Keyword(s):

Sensor Networks ◽

Low Power ◽

Sensor Network ◽

Link Quality ◽

Long Distance ◽

Received Power ◽

Link Performance ◽

Weather Changes ◽

Minimal Power Consumption ◽

Seasonal Weather

When aiming for the wider deployment of low-power sensor networks, the use of sub-GHz frequency bands shows a lot of promise in terms of robustness and minimal power consumption. Yet, when deploying such sensor networks over larger areas, the link quality can be impacted by a host of factors. Therefore, this contribution demonstrates the performance of several links in a real-world, research-oriented sensor network deployed in a (sub)urban environment. Several link characteristics are presented and analysed, exposing frequent signal deterioration and, more rarely, signal strength enhancement along certain long-distance wireless links. A connection is made between received power levels and seasonal weather changes and events. The irregular link performance presented in this paper is found to be genuinely disruptive when pushing sensor-networks to their limits in terms of range and power use. This work aims to give an indication of the severity of these effects in order to enable the design of truly reliable sensor networks.

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