Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767122
Aravind Jinka Venkata, S. Prince
In this study we analyzed the working of Intel RealSense depth camera D455 which is latest depth sense camera in Intel Family. This visual based optical sensor will be useful for mapping the unknown environment in indoor and outdoor applications and it is also useful for longer range fast moving autonomous robots for inspection and more accurate for collision avoidance capabilities. By understanding the usefulness of visual sensor here we performed experiment on camera position at different places and observed the streaming of depth sense images at different positions, and x, y, z co-ordinates of accelerometer and gyroscope measurements are visualized.
本文对英特尔系列最新的深度感测相机——英特尔RealSense深度相机D455的工作原理进行了分析。这种基于视觉的光学传感器将有助于绘制室内和室外应用中的未知环境，也可用于远距离快速移动的自主机器人进行检查，并更准确地避免碰撞。在了解视觉传感器的实用性的基础上，我们在不同位置进行了相机位置实验，观察了不同位置的深度感图像流，并可视化了加速度计和陀螺仪测量的x, y, z坐标。
{"title":"A Study on Visual Based Optical Sensor for Depth Sense Estimation","authors":"Aravind Jinka Venkata, S. Prince","doi":"10.1109/wispnet54241.2022.9767122","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767122","url":null,"abstract":"In this study we analyzed the working of Intel RealSense depth camera D455 which is latest depth sense camera in Intel Family. This visual based optical sensor will be useful for mapping the unknown environment in indoor and outdoor applications and it is also useful for longer range fast moving autonomous robots for inspection and more accurate for collision avoidance capabilities. By understanding the usefulness of visual sensor here we performed experiment on camera position at different places and observed the streaming of depth sense images at different positions, and x, y, z co-ordinates of accelerometer and gyroscope measurements are visualized.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114146226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767113
Shrey Aggarwal, Sachin Sharma
Healthcare is one of the sectors that has been revolutionized by IoT. Internet-of-Medical-Things (IoMT) technologies have been released as an IoT branch, and healthcare is one of the industries that has been revolutionized by IoT. IoMT devices can be used to remotely monitor patients with chronic conditions. As a result, it may be able to quickly diagnose patients, potentially saving their lives in an emergency. The first and most important step in ensuring a device's security is to install a solid lock system. Users must have a smart lock on their medical equipment in order for their medical history to remain secure and untampered with. This research proposes a smart lock based solely on speech recognition, which will be useful in IoMT for securing a device's medical history. A VCS (voice-controlled system) that uses AI-assisted acoustic feature extraction and NLP to anticipate voice is proposed. Smart locks, which monitor and track a user's devices lock/unlock state, have piqued the security industry's interest. Then there's an overview of how AI can be applied to IoMT. A detailed design of a voice-controlled smart-lock, as well as many technological developments, are described.
{"title":"Voice Based Secured Smart Lock Design for Internet of Medical Things: An Artificial Intelligence Approach","authors":"Shrey Aggarwal, Sachin Sharma","doi":"10.1109/wispnet54241.2022.9767113","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767113","url":null,"abstract":"Healthcare is one of the sectors that has been revolutionized by IoT. Internet-of-Medical-Things (IoMT) technologies have been released as an IoT branch, and healthcare is one of the industries that has been revolutionized by IoT. IoMT devices can be used to remotely monitor patients with chronic conditions. As a result, it may be able to quickly diagnose patients, potentially saving their lives in an emergency. The first and most important step in ensuring a device's security is to install a solid lock system. Users must have a smart lock on their medical equipment in order for their medical history to remain secure and untampered with. This research proposes a smart lock based solely on speech recognition, which will be useful in IoMT for securing a device's medical history. A VCS (voice-controlled system) that uses AI-assisted acoustic feature extraction and NLP to anticipate voice is proposed. Smart locks, which monitor and track a user's devices lock/unlock state, have piqued the security industry's interest. Then there's an overview of how AI can be applied to IoMT. A detailed design of a voice-controlled smart-lock, as well as many technological developments, are described.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128734243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767120
K. Hemant, Manu Bharadwaj, A. Krishna
The Terahertz band of frequencies offers a new frontier for research in wireless communication. With the availability of huge bandwidth, it offers the possibility of realizing the promised potential of 6G communication. An important capability the modern communication receivers are expected to possess is automatic modulation classification (AMC). In addition to its security and military applications, AMC improves spectral efficiency. It is also important in the context of cognitive radio. In this paper, a deep learning based approach is developed for the task of AMC in the Terahertz regime. Its performance is evaluated under different SNR conditions. The simulations demonstrate that the model developed provides excellent performance over the Terahertz channel.
{"title":"Automatic Modulation Classification for Terahertz Communication","authors":"K. Hemant, Manu Bharadwaj, A. Krishna","doi":"10.1109/wispnet54241.2022.9767120","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767120","url":null,"abstract":"The Terahertz band of frequencies offers a new frontier for research in wireless communication. With the availability of huge bandwidth, it offers the possibility of realizing the promised potential of 6G communication. An important capability the modern communication receivers are expected to possess is automatic modulation classification (AMC). In addition to its security and military applications, AMC improves spectral efficiency. It is also important in the context of cognitive radio. In this paper, a deep learning based approach is developed for the task of AMC in the Terahertz regime. Its performance is evaluated under different SNR conditions. The simulations demonstrate that the model developed provides excellent performance over the Terahertz channel.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A 5G-based smart pole is an IoT-based streetlight pole that consists of streetlights as its hardware, IoT devices with different functions, and an intelligent network interface with 5G communications protocol. A 5G-based smart pole is usually stationed at the LAN environment and connects to WAN via 5G in the street to perform these applications. The 5G-based pole also collects IoT data dynamically and provides various services. However, without a suitable scheduling algorithm, accessing various built-in services from 5G Pole will be a difficult job. This article introduces the QoS 5QI method to meet these challenging requirements by programming an advanced network QoS framework on the 5G infrastructure.
{"title":"5G Smart IoT Poles","authors":"Yi-Chih Tung, Zhi-Quan Zhan, Min-Hsu Chuang, Si-Han Peng, Chih-Hsiang Ho, Cheng-Chang Chen","doi":"10.1109/wispnet54241.2022.9767154","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767154","url":null,"abstract":"A 5G-based smart pole is an IoT-based streetlight pole that consists of streetlights as its hardware, IoT devices with different functions, and an intelligent network interface with 5G communications protocol. A 5G-based smart pole is usually stationed at the LAN environment and connects to WAN via 5G in the street to perform these applications. The 5G-based pole also collects IoT data dynamically and provides various services. However, without a suitable scheduling algorithm, accessing various built-in services from 5G Pole will be a difficult job. This article introduces the QoS 5QI method to meet these challenging requirements by programming an advanced network QoS framework on the 5G infrastructure.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130266277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767135
Govind Singh, Anshul Pandey
The developments in wireless communication technologies coupled with smart vehicles have leveraged the evolution of vehicle-to-everything (V2X) networks. However, with the increasing demands of V2X applications, such networks require more bandwidth for reliable operations with stringent security enhancements. This paper proposes a Wi-Fi aware/ neighbor awareness networking (NAN) technology- enabled V2X communication framework for ensuring a robust, reliable, and secure operation. In particular, we elaborate on how NAN technology can benefit present V2X systems and discuss the various applicable use-cases. Moreover, we highlight how the V2X networks can exploit the NAN technology's service discovery and classification feature in a NAN cluster. We also present a thorough discussion on the available threats and existing security solutions with the present V2X communication systems. Further, we elaborate on how the integration of NAN would benefit the security of the present V2X communication network deployments. Finally, we also touch on the implementation aspects for NAN -enabled V2X communication framework.
{"title":"Reliable and Secure V2X Communications with Wi-Fi Neighbor Aware Networking","authors":"Govind Singh, Anshul Pandey","doi":"10.1109/wispnet54241.2022.9767135","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767135","url":null,"abstract":"The developments in wireless communication technologies coupled with smart vehicles have leveraged the evolution of vehicle-to-everything (V2X) networks. However, with the increasing demands of V2X applications, such networks require more bandwidth for reliable operations with stringent security enhancements. This paper proposes a Wi-Fi aware/ neighbor awareness networking (NAN) technology- enabled V2X communication framework for ensuring a robust, reliable, and secure operation. In particular, we elaborate on how NAN technology can benefit present V2X systems and discuss the various applicable use-cases. Moreover, we highlight how the V2X networks can exploit the NAN technology's service discovery and classification feature in a NAN cluster. We also present a thorough discussion on the available threats and existing security solutions with the present V2X communication systems. Further, we elaborate on how the integration of NAN would benefit the security of the present V2X communication network deployments. Finally, we also touch on the implementation aspects for NAN -enabled V2X communication framework.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121491378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767117
Aafreen Khan, A. Ahmad, Maksud Alam
This article presents a novel quad-band antenna for mm-wave $boldsymbol{5mathrm{G}}$ applications. The quad-band characteristics have been achieved by etching the u-slot along with the two open-ended slots from the top of the rectangular patch. The antenna is having a patch size of 2.25 $boldsymbol{times 3.04}$ mm2. The designed antenna is having a maximum efficiency of 99.24% and the AR value $boldsymbol{ < 3text{dB}}$ in the range (43.270-43.673) GHz. The proposed simple structure compact antenna has been designed using Ansys HFSS software and is useful for the mm-wave $boldsymbol{5mathrm{G}}$ communications.
{"title":"Simple-Design Slot-Cut Quad-Band Antenna for mm-Wave 5G Applications","authors":"Aafreen Khan, A. Ahmad, Maksud Alam","doi":"10.1109/wispnet54241.2022.9767117","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767117","url":null,"abstract":"This article presents a novel quad-band antenna for mm-wave $boldsymbol{5mathrm{G}}$ applications. The quad-band characteristics have been achieved by etching the u-slot along with the two open-ended slots from the top of the rectangular patch. The antenna is having a patch size of 2.25 $boldsymbol{times 3.04}$ mm2. The designed antenna is having a maximum efficiency of 99.24% and the AR value $boldsymbol{ < 3text{dB}}$ in the range (43.270-43.673) GHz. The proposed simple structure compact antenna has been designed using Ansys HFSS software and is useful for the mm-wave $boldsymbol{5mathrm{G}}$ communications.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125567779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767123
M. Raja, S. Sujatha, P. Prajoon
The Universal Filtered Multi-carrier (UFMC) system is promising alternative multicarrier modulation scheme for fifth generation (5G) cellular networks. UFMC systems offer many advantages such as larger spectral efficiency, robustness, lower latency and minimizing out of band emission. However, the most serious problem in the UFMC system is high peak to average power ratio (PAPR). This high peak signal is seriously harmed by the high power amplifier (HPA). Therefore, this research presents a novel Square Root raised Cosine function (SRC)-Precoding method introduced to reduction of PAPR. A performance analysis of various methods being examined upon in terms of CCDF of PAPR and the BER. The Simulation result shows that the proposed approach can effectively reduce the PAPR 6dB compared to standard UFMC. Moreover, the bit error rate (BER) study of the UFMC model indicates that the proposed approach significantly improves 15 dB compared with conventional UFMC systems.
{"title":"Novel PAPR Reduction in UFMC system for 5G Wireless Networks Using Precoding Algorithm","authors":"M. Raja, S. Sujatha, P. Prajoon","doi":"10.1109/wispnet54241.2022.9767123","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767123","url":null,"abstract":"The Universal Filtered Multi-carrier (UFMC) system is promising alternative multicarrier modulation scheme for fifth generation (5G) cellular networks. UFMC systems offer many advantages such as larger spectral efficiency, robustness, lower latency and minimizing out of band emission. However, the most serious problem in the UFMC system is high peak to average power ratio (PAPR). This high peak signal is seriously harmed by the high power amplifier (HPA). Therefore, this research presents a novel Square Root raised Cosine function (SRC)-Precoding method introduced to reduction of PAPR. A performance analysis of various methods being examined upon in terms of CCDF of PAPR and the BER. The Simulation result shows that the proposed approach can effectively reduce the PAPR 6dB compared to standard UFMC. Moreover, the bit error rate (BER) study of the UFMC model indicates that the proposed approach significantly improves 15 dB compared with conventional UFMC systems.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132051924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767187
Kamaruzzaman Md., Abhijit Chandra
Wireless sensor network (WSN) has become popular for its potential applications in the field of environmental science, robotics, military, disaster management system, medical science and so on. However, limited energy of the sensor nodes is emerging as one of the key constraints as far as the application of WSNs is concerned. Hence, researchers are developing divergent algorithms for the minimization of energy consumption of the sensor nodes (SNs), In this article, we have introduced a novel routing algorithm in which a fitness function is used. Moreover, all the parameters in the fitness function are normalized so that equal contribution is assured from each of them. MATLAB simulation on the proposed scheme has been carried out in order to exhibit its effectiveness over few existing approaches. It is finally concluded that the proposed scheme outperforms previous algorithms in terms of network lifetime, time for first sensor node die and standard deviation.
{"title":"A New Energy Efficient Routing Scheme with Normalized Condition Parameters for Wireless Sensor Network","authors":"Kamaruzzaman Md., Abhijit Chandra","doi":"10.1109/wispnet54241.2022.9767187","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767187","url":null,"abstract":"Wireless sensor network (WSN) has become popular for its potential applications in the field of environmental science, robotics, military, disaster management system, medical science and so on. However, limited energy of the sensor nodes is emerging as one of the key constraints as far as the application of WSNs is concerned. Hence, researchers are developing divergent algorithms for the minimization of energy consumption of the sensor nodes (SNs), In this article, we have introduced a novel routing algorithm in which a fitness function is used. Moreover, all the parameters in the fitness function are normalized so that equal contribution is assured from each of them. MATLAB simulation on the proposed scheme has been carried out in order to exhibit its effectiveness over few existing approaches. It is finally concluded that the proposed scheme outperforms previous algorithms in terms of network lifetime, time for first sensor node die and standard deviation.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131287136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767118
S. Holla, T. Kumar, Jeevan Revaneppa Hiretanad, K. Deepak, A. V. Narasimhadhan
We are presenting the work on building a speaker independent, continuous speech recognition system for Samskruta (also called Sanskrit) using self-supervised learning. We have used a Pre-trained model from the Vakyansh team where the model is trained using 10,000 Hrs of data with 23 Indic languages and Fine-tuned it using a data-set containing nearly 78 Hrs of Samskruta audio along with their transcription taken from Vaksancaya - Sanskrit Speech Corpus from IIT Bombay. Acoustic representations are learned in an end-to-end deep learning approach using the wav2vec2.0 architecture from Fairseq. On top of this acoustic model, a language model is used to increase the overall performance. Our system provides a word error rate (WER) of 5.1 % on test data and 2.4% on train data. Meanwhile we built a graphical user interface in the form of a web page using the Flask framework, which provides an interactive platform for the user to record audio and see the transcription in real-time. To the best of our knowledge, our approach using self-supervised learning, gives better performance compared to the state of the art methods.
{"title":"End-to-End Speech Recognition for Low Resource Language Sanskrit using Self-Supervised Learning","authors":"S. Holla, T. Kumar, Jeevan Revaneppa Hiretanad, K. Deepak, A. V. Narasimhadhan","doi":"10.1109/wispnet54241.2022.9767118","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767118","url":null,"abstract":"We are presenting the work on building a speaker independent, continuous speech recognition system for Samskruta (also called Sanskrit) using self-supervised learning. We have used a Pre-trained model from the Vakyansh team where the model is trained using 10,000 Hrs of data with 23 Indic languages and Fine-tuned it using a data-set containing nearly 78 Hrs of Samskruta audio along with their transcription taken from Vaksancaya - Sanskrit Speech Corpus from IIT Bombay. Acoustic representations are learned in an end-to-end deep learning approach using the wav2vec2.0 architecture from Fairseq. On top of this acoustic model, a language model is used to increase the overall performance. Our system provides a word error rate (WER) of 5.1 % on test data and 2.4% on train data. Meanwhile we built a graphical user interface in the form of a web page using the Flask framework, which provides an interactive platform for the user to record audio and see the transcription in real-time. To the best of our knowledge, our approach using self-supervised learning, gives better performance compared to the state of the art methods.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115729884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767139
Shreyashri Biswas, Rajeev Muttangi, Harshil Patel, S. Prince
Each year natural disasters claim millions of lives across the globe. The numerous tireless rescue missions are the aftermath of natural disasters such as typhoons, hurricanes, blizzards, forest fires, and heavy storms. Unfortunately, the first responders responsible for rescuing the people in distress get paralyzed in their efforts as the wireless network is the first system to malfunction during such adversities. An intelligent system based on Unmanned Aerial Vehicles (UAV) which helps in locating and communicating with the survivors offers a promising alternative for mission-critical (MC) scenarios. The survivors are located by the autonomous UAV via an edge AI image classifier model. Further, due to the distinctive features such as flexible deployment and rapid reconfiguration, drones can readily change location dynamically to deliver on-demand communications to users on the ground in emergency scenarios. As a result, using UAVs as access point to local area network has been assessed as a practical approach for supplying instantaneous connection in MC situations. The proposed solution here does not require any manual control. It can automatically maneuver, land, and take off using Aruco markers. This work includes a precision landing study and a Received Signal Strength Indicator (RSSI) study of the network provided by the UAV which examines the constraints and applications of the system.
{"title":"Edge AI Based Autonomous UAV for Emergency Network Deployment: A Study Towards Search and Rescue Missions","authors":"Shreyashri Biswas, Rajeev Muttangi, Harshil Patel, S. Prince","doi":"10.1109/wispnet54241.2022.9767139","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767139","url":null,"abstract":"Each year natural disasters claim millions of lives across the globe. The numerous tireless rescue missions are the aftermath of natural disasters such as typhoons, hurricanes, blizzards, forest fires, and heavy storms. Unfortunately, the first responders responsible for rescuing the people in distress get paralyzed in their efforts as the wireless network is the first system to malfunction during such adversities. An intelligent system based on Unmanned Aerial Vehicles (UAV) which helps in locating and communicating with the survivors offers a promising alternative for mission-critical (MC) scenarios. The survivors are located by the autonomous UAV via an edge AI image classifier model. Further, due to the distinctive features such as flexible deployment and rapid reconfiguration, drones can readily change location dynamically to deliver on-demand communications to users on the ground in emergency scenarios. As a result, using UAVs as access point to local area network has been assessed as a practical approach for supplying instantaneous connection in MC situations. The proposed solution here does not require any manual control. It can automatically maneuver, land, and take off using Aruco markers. This work includes a precision landing study and a Received Signal Strength Indicator (RSSI) study of the network provided by the UAV which examines the constraints and applications of the system.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116944775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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