IEEE Organizations related to Wireless Access Points

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Conferences related to Wireless Access Points

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Periodicals related to Wireless Access Points

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Most published Xplore authors for Wireless Access Points

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Xplore Articles related to Wireless Access Points

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Hybrid 12-Antenna Array for Quad-Band 5G/Sub-6GHz MIMO in Micro Wireless Access Points

2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2018

In this paper, a 12-port 5G multiple-input multiple-output (MIMO) antenna array for micro wireless access points is studied. By integrating four F-shaped open slot antennas and eight F-shaped electric antennas, the proposed antenna array supports 4×4 MIMO in the LTE bands 42/43 (3.4-3.8 GHz), and 8×8 MIMO in the 4.9-GHz band/LTE band 46 (4.8-5.925 GHz). In the operation bandwidth, high ...


Radio Frequency Identification and Sensor Networks based Bin Level Monitoring Systems-A Review

2018 4th International Conference on Devices, Circuits and Systems (ICDCS), 2018

A variety of technologies provided solution for innumerable problems. But, still human wastes are handled by human beings. Solid waste management is the method of collecting, transporting, processing or dumping, managing and monitoring the waste materials. Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) plays a vital role in the field of solid waste management. A small number of ...


Wireless Data Rate Controller Design for Networked Control Applications

2018 26th Mediterranean Conference on Control and Automation (MED), 2018

This paper presents a design approach for data transfer rate control algorithms meant to assure a prescribed delay in communication channels of wireless networked control systems (N CS). Three types of control algorithms are treated: P, PI and PI + Additive Increase control. Each algorithm is based on delay measurement and computes the transfer rates in the communication channels of ...


A K-Means Algorithm Approach for Classifying Wireless Signal Loss Using RTT and Bandwidth

2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2018

This paper shows that with bandwidth and round-trip time statistics, data analytics can be used to classify three characteristic phenomena in wireless signal use: decreases in bandwidth due to signal over-saturation, signal attenuation due to increasing distance, and signal improvement due to decreasing distance. Using a K-Means algorithm, bandwidth and round-trip time trends were clustered correctly by signal loss type ...


Bounding Network-Induced Delays of Wireless PRP Infrastructure for Industrial Control Systems

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019

Recently, wireless communication technologies, such as Wireless Local Area Networks (WLANs), have gained increasing popularity in industrial control systems (ICSs) due to their low cost and ease of deployment, but communication delays associated with these technologies make it unsuitable for critical real-time and safety applications. To address concerns on network-induced delays of wireless communication technologies and bring their advantages into ...


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Educational Resources on Wireless Access Points

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IEEE-USA E-Books

  • Hybrid 12-Antenna Array for Quad-Band 5G/Sub-6GHz MIMO in Micro Wireless Access Points

    In this paper, a 12-port 5G multiple-input multiple-output (MIMO) antenna array for micro wireless access points is studied. By integrating four F-shaped open slot antennas and eight F-shaped electric antennas, the proposed antenna array supports 4×4 MIMO in the LTE bands 42/43 (3.4-3.8 GHz), and 8×8 MIMO in the 4.9-GHz band/LTE band 46 (4.8-5.925 GHz). In the operation bandwidth, high total efficiency ., apparent radiation diversity characteristic and low envelope correlation coefficient (ECC, are obtained.

  • Radio Frequency Identification and Sensor Networks based Bin Level Monitoring Systems-A Review

    A variety of technologies provided solution for innumerable problems. But, still human wastes are handled by human beings. Solid waste management is the method of collecting, transporting, processing or dumping, managing and monitoring the waste materials. Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) plays a vital role in the field of solid waste management. A small number of RFID and WSNs based solid waste bin level monitoring systems have been deployed to handle solid wastes. This article presents the review of various bin level monitoring systems with the insight for advanced researches in the field of waste management.

  • Wireless Data Rate Controller Design for Networked Control Applications

    This paper presents a design approach for data transfer rate control algorithms meant to assure a prescribed delay in communication channels of wireless networked control systems (N CS). Three types of control algorithms are treated: P, PI and PI + Additive Increase control. Each algorithm is based on delay measurement and computes the transfer rates in the communication channels of NCSs. They are able to compensate the effect of independent communication channels with unknown rates on the expected delay value in the wireless communication medium. By assuming that the communication medium is described by the queue model, the parameters of these control algorithms are explicitly computed such to assure the stability of the closed-loop system and the steady-state control performances. Simulation measurements were performed to compare the behavior of the proposed control algorithms. The applicability of the control approach was tested in a networked bilateral teleoperation system.

  • A K-Means Algorithm Approach for Classifying Wireless Signal Loss Using RTT and Bandwidth

    This paper shows that with bandwidth and round-trip time statistics, data analytics can be used to classify three characteristic phenomena in wireless signal use: decreases in bandwidth due to signal over-saturation, signal attenuation due to increasing distance, and signal improvement due to decreasing distance. Using a K-Means algorithm, bandwidth and round-trip time trends were clustered correctly by signal loss type with a 99.98% accuracy rating with 10,000 validation samples.

  • Bounding Network-Induced Delays of Wireless PRP Infrastructure for Industrial Control Systems

    Recently, wireless communication technologies, such as Wireless Local Area Networks (WLANs), have gained increasing popularity in industrial control systems (ICSs) due to their low cost and ease of deployment, but communication delays associated with these technologies make it unsuitable for critical real-time and safety applications. To address concerns on network-induced delays of wireless communication technologies and bring their advantages into modern ICSs, wireless network infrastructure based on the Parallel Redundancy Protocol (PRP) has been proposed. Although application-specific simulations and measurements have been conducted to show that wireless network infrastructure based on PRP can be a viable solution for critical applications with stringent delay performance constraints, little has been done to devise an analytical framework facilitating the adoption of wireless PRP infrastructure in miscellaneous ICSs. Leveraging the deterministic network calculus (DNC) theory, we propose to analytically derive worst-case bounds on network-induced delays for critical ICS applications. We show that the problem of worst-case delay bounding for a wireless PRP network can be solved by performing network-calculus-based analysis on its non-feedforward traffic pattern. Closed-form expressions of worst-case delays are derived, which has not been found previously and allows ICS architects/designers to compute worst-case delay bounds for ICS tasks in their respective application domains of interest. Our analytical results not only provide insights into the impacts of network-induced delays on latency-critical tasks but also allow ICS architects/operators to assess whether proper wireless RPR network infrastructure can be adopted into their systems.

  • On the Impact of DDoS Attacks on Software-Defined Internet-of-Vehicles Control Plane

    To enhance the programmability and flexibility of network and service management, the Software-Defined Networking (SDN) paradigm is gaining growing attention by academia and industry. Motivated by its success in wired networks, researchers have recently started to embrace SDN towards developing next generation wireless networks such as Software-Defined Internet of Vehicles (SD-IoV). As the SD-IoV evolves, new security threats would emerge and demand attention. And since the core of the SD-IoV would be the control plane, it is highly vulnerable to Distributed Denial of Service (DDoS) Attacks. In this work, we investigate the impact of DDoS attacks on the controllers in a SD-IoV environment. Through experimental evaluations, we highlight the drastic effects DDoS attacks could have on a SD-IoV in terms of throughput and controller load. Our results could be a starting point to motivate further research in the area of SD-IoV security and would give deeper insights into the problems of DDoS attacks on SD-IoV.

  • WiFi Fingerprint Based, Indoor, Location-Driven Activities of Daily Living Recognition

    Indoor, location-driven human Activities of Daily Living (ADLs) are important indicators of peoples physical and mental wellbeing. In terms of Indoor Position Systems (IPS), much work focuses on using WiFi to determine location as these signals are more prevalent and available, and to increase the location determination accuracy, rather than to use WiFi fingerprint positioning systems to recognise location-driven ADLs (LD-ADL). This paper proposes a novel Multi-Dimensional Dynamic Time Warping (MD- DTW) based method for fusing sequences of points and Received Signal Strength Indicator (RSSI) traj ectories or sequences. Since the number of wireless Access Points (APs) being used can affect the positioning accuracy, we also integrated the use of MD-DTW with the use of Interval Overlap Degree (IOD) to improve AP selection. We designed 9 activities (340 paths) and verify the recognition performance of our method in an office type environment at Queen Mary. The results show that the recognition accuracy for 9 activities for MD-DTW is on average 66.29% higher than that using a coordinate points method alone, and on average 2.8% higher than using the RSSI feature sequence method alone when the number of APs is more than 16. Moreover, the average accuracy of MD-DTW is 99.98% for Class 1 (office space) activities, 99.81 % for Class 2 (kitchen) activities and 99.95% for the combined activities, when their AP quantities are more than 49,36, 50, respectively.



Standards related to Wireless Access Points

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