Pub Date : 2021-01-01DOI: 10.21307/ijssis-2021-005
O. Hassanein, G. Sreenatha, S. Aboobacker, Shaaban Ali
Abstract This paper presents the development of a low-cost autonomous underwater vehicle (AUV). For research, industrial and military underwater applications, AUVs are generally used, which modeling, system identification and control of these vehicles pose serious challenges due to the vehicles’ complex, inherently nonlinear, and time-varying dynamics. Here, the AUV is considered to have 6-DOF for the development of the electrical, electronics, power distribution, sensors, and actuators. A low-cost IMU is used along with other reasonably low-cost detectors, such as a magnetometer and a water pressure sensor for depth evaluation. This study addresses the configuration and selection of the onboard instruments required to collect data using a processing unit (PC104) based on-board data logger to record complete manoeuvring data obtained from various sensors and process it based on the experiment. Real-time validations using Hardware-in-Loop (HIL) simulations are carried out. HIL simulations help to simulate the behavior of the developed model for surge, pitch and yaw movement, and also it makes clear that the used identification methods are feasible for real time control. Real time experiments are carried out with the developed 6-DOF instrumented AUV platform in various conditions and environments to validate its dynamics identification with adaptive controller and the results are presented for surge, the control of pitch, and yaw. The results revealed that the adaptive controller can effectively control the developed AUV and show its robust properties in the real world.
{"title":"Development of Low Cost Autonomous Underwater Vehicle Platform","authors":"O. Hassanein, G. Sreenatha, S. Aboobacker, Shaaban Ali","doi":"10.21307/ijssis-2021-005","DOIUrl":"https://doi.org/10.21307/ijssis-2021-005","url":null,"abstract":"Abstract This paper presents the development of a low-cost autonomous underwater vehicle (AUV). For research, industrial and military underwater applications, AUVs are generally used, which modeling, system identification and control of these vehicles pose serious challenges due to the vehicles’ complex, inherently nonlinear, and time-varying dynamics. Here, the AUV is considered to have 6-DOF for the development of the electrical, electronics, power distribution, sensors, and actuators. A low-cost IMU is used along with other reasonably low-cost detectors, such as a magnetometer and a water pressure sensor for depth evaluation. This study addresses the configuration and selection of the onboard instruments required to collect data using a processing unit (PC104) based on-board data logger to record complete manoeuvring data obtained from various sensors and process it based on the experiment. Real-time validations using Hardware-in-Loop (HIL) simulations are carried out. HIL simulations help to simulate the behavior of the developed model for surge, pitch and yaw movement, and also it makes clear that the used identification methods are feasible for real time control. Real time experiments are carried out with the developed 6-DOF instrumented AUV platform in various conditions and environments to validate its dynamics identification with adaptive controller and the results are presented for surge, the control of pitch, and yaw. The results revealed that the adaptive controller can effectively control the developed AUV and show its robust properties in the real world.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 22"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48521611","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 : 2021-01-01DOI: 10.21307/IJSSIS-2021-006
V. Balyan, Dhiraj Gupta
Abstract In this paper, device-to-device (D2D) pairs use the uplink resource of a mobile user. The transmission is done using a non-orthogonal multiple access (NOMA) technology. The D2D pairs are placed in a queue with maximum threshold time. The channel is allocated to D2D pairs using the TDMA scheme with the first in first out (FIFO) principle. Considering the slots of time division multiple access (TDMA) and channel state, the channel is shared by one D2D pair with the mobile user. The signal to interference (SIC) is employed for D2D pair or mobile user based on NOMA. A hybrid of TDMA and NOMA is used in which time and bit allocation are judiciously adopted. The results are simulated for four different scenarios of power and rate requirements with reduced latency and interference.
{"title":"Device-to-device and mobile user communication with queuing in NOMA-based network","authors":"V. Balyan, Dhiraj Gupta","doi":"10.21307/IJSSIS-2021-006","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-006","url":null,"abstract":"Abstract In this paper, device-to-device (D2D) pairs use the uplink resource of a mobile user. The transmission is done using a non-orthogonal multiple access (NOMA) technology. The D2D pairs are placed in a queue with maximum threshold time. The channel is allocated to D2D pairs using the TDMA scheme with the first in first out (FIFO) principle. Considering the slots of time division multiple access (TDMA) and channel state, the channel is shared by one D2D pair with the mobile user. The signal to interference (SIC) is employed for D2D pair or mobile user based on NOMA. A hybrid of TDMA and NOMA is used in which time and bit allocation are judiciously adopted. The results are simulated for four different scenarios of power and rate requirements with reduced latency and interference.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 6"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49370822","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 : 2021-01-01DOI: 10.21307/IJSSIS-2021-003
R. Fazio, A. Sponziello, D. Cafagna, R. Velázquez, Paolo Visconti
Abstract The year 2020 will remain in the history for the diffusion of the COVID-19 virus, originating a pandemic on a world scale with over a million deaths. From the onset of the pandemic, the scientific community has made numerous efforts to design systems to detect the infected subjects in ever-faster times, allowing both to intervene on them, to avoid dangerous complications, and to contain the pandemic spreading. In this paper, we present an overview of different innovative technologies and devices fielded against the SARS-CoV-2 virus. The various technologies applicable to the rapid and reliable detection of the COVID-19 virus have been explored. Specifically, several magnetic, electrochemical, and plasmonic biosensors have been proposed in the scientific literature, as an alternative to nucleic acid-based real-time reverse transcription Polymerase Chain Reaction (PCR) (RT-qPCR) assays, overcoming the limitations featuring this typology of tests (the need for expensive instruments and reagents, as well as of specialized staff, and their reliability). Furthermore, we investigated the IoT solutions and devices, reported on the market and in the scientific literature, to contain the pandemic spreading, by avoiding the contagion, acquiring the parameters of suspected users, and monitoring them during the quarantine period.
{"title":"An overview of technologies and devices against COVID-19 pandemic diffusion: virus detection and monitoring solutions","authors":"R. Fazio, A. Sponziello, D. Cafagna, R. Velázquez, Paolo Visconti","doi":"10.21307/IJSSIS-2021-003","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-003","url":null,"abstract":"Abstract The year 2020 will remain in the history for the diffusion of the COVID-19 virus, originating a pandemic on a world scale with over a million deaths. From the onset of the pandemic, the scientific community has made numerous efforts to design systems to detect the infected subjects in ever-faster times, allowing both to intervene on them, to avoid dangerous complications, and to contain the pandemic spreading. In this paper, we present an overview of different innovative technologies and devices fielded against the SARS-CoV-2 virus. The various technologies applicable to the rapid and reliable detection of the COVID-19 virus have been explored. Specifically, several magnetic, electrochemical, and plasmonic biosensors have been proposed in the scientific literature, as an alternative to nucleic acid-based real-time reverse transcription Polymerase Chain Reaction (PCR) (RT-qPCR) assays, overcoming the limitations featuring this typology of tests (the need for expensive instruments and reagents, as well as of specialized staff, and their reliability). Furthermore, we investigated the IoT solutions and devices, reported on the market and in the scientific literature, to contain the pandemic spreading, by avoiding the contagion, acquiring the parameters of suspected users, and monitoring them during the quarantine period.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 28"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44887370","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 : 2021-01-01DOI: 10.21307/ijssis-2021-010
I. Gunawan, Ocarina Cloramidina, Salmaa Badriatu Syafa’ah, Rizcy Hafivah Febriani, G. P. Kuntarto, B. I. Santoso
Abstract This paper presents a literature review on the method of measuring high dynamic range (HDR) image quality. HDR technology can help maximize user satisfaction level when using HDR images-based visual services. The advance of HDR technology indirectly presents a more difficult challenge to the image quality assessment method due to the high sensitivity of the human visual system (HVS) to various kinds of distortions that may arise in HDR images. This is related to the process of HDR image generation, which in general can be classified into two broad categories: the formation using the multiple exposure fusion (MEF) method and the inverse tone mapping operator (ITMO) method. In this paper, we will outline how HDR image quality measurement method works and describe some examples of these measurement methods which are related to the way the HDR images are fabricated. From these methods, it can be seen that most of them are still focused on full-reference and no-reference quality models. We argue that there is still room for the development of reduced-reference HDR image quality assessment.
{"title":"A review on high dynamic range (HDR) image quality assessment","authors":"I. Gunawan, Ocarina Cloramidina, Salmaa Badriatu Syafa’ah, Rizcy Hafivah Febriani, G. P. Kuntarto, B. I. Santoso","doi":"10.21307/ijssis-2021-010","DOIUrl":"https://doi.org/10.21307/ijssis-2021-010","url":null,"abstract":"Abstract This paper presents a literature review on the method of measuring high dynamic range (HDR) image quality. HDR technology can help maximize user satisfaction level when using HDR images-based visual services. The advance of HDR technology indirectly presents a more difficult challenge to the image quality assessment method due to the high sensitivity of the human visual system (HVS) to various kinds of distortions that may arise in HDR images. This is related to the process of HDR image generation, which in general can be classified into two broad categories: the formation using the multiple exposure fusion (MEF) method and the inverse tone mapping operator (ITMO) method. In this paper, we will outline how HDR image quality measurement method works and describe some examples of these measurement methods which are related to the way the HDR images are fabricated. From these methods, it can be seen that most of them are still focused on full-reference and no-reference quality models. We argue that there is still room for the development of reduced-reference HDR image quality assessment.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 17"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43843369","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 : 2021-01-01DOI: 10.21307/IJSSIS-2021-001
H. Seraj, B. Evans, M. Sarmadivaleh
Abstract Accurate sand flow rate measurement is needed to minimize the side effects of sand production in gas fields. There are concerns about the accuracy of sand flow measurement using the sand measuring devices available on the market. In this paper, ultrasonic sensors and discrete wavelet transform signal analysis method is used to measure the sand flow rate. It is found that the strength of the discrete wavelet coefficients in the frequency range of 15–62 kHz has a linear relationship with sand flow rate. This finding provides a new methodology to accurately measure sand flow rate. The proposed method does not need fluid velocity as a prerequisite for sand rate measurement, so it greatly simplifies the system design when flow meters are not used for fluid velocity measurement. Also, this method has a much simpler calibration procedure compared to that of the sand detectors commonly used in the industry.
{"title":"Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors","authors":"H. Seraj, B. Evans, M. Sarmadivaleh","doi":"10.21307/IJSSIS-2021-001","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-001","url":null,"abstract":"Abstract Accurate sand flow rate measurement is needed to minimize the side effects of sand production in gas fields. There are concerns about the accuracy of sand flow measurement using the sand measuring devices available on the market. In this paper, ultrasonic sensors and discrete wavelet transform signal analysis method is used to measure the sand flow rate. It is found that the strength of the discrete wavelet coefficients in the frequency range of 15–62 kHz has a linear relationship with sand flow rate. This finding provides a new methodology to accurately measure sand flow rate. The proposed method does not need fluid velocity as a prerequisite for sand rate measurement, so it greatly simplifies the system design when flow meters are not used for fluid velocity measurement. Also, this method has a much simpler calibration procedure compared to that of the sand detectors commonly used in the industry.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 13"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42390264","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 : 2021-01-01DOI: 10.21307/ijssis-2021-018
M. Deguchi
Abstract In the capacitive proximity sensing method, arranging multiple sensing electrodes makes it possible to obtain the three-dimensional position of a nearby object. The author has developed a capacitive proximity sensing method using LC resonance in three reactance elements. In this method, the detectable area can be greatly extended by the floating electrodes, which are capacitively connected to the sensing electrode. By connecting multiple floating electrodes in series, the detectable range can be extended up to the length of the array of floating electrodes. When these electrodes are arranged on a frame, the region surrounded by the frame becomes the detectable area. By applying this frame on any surface, it is possible to make the surface within the opening of the frame a non-contact operating panel, which can be applied as a gesture input device.
{"title":"Expansion of detectable area by floating electrodes in capacitive three-dimensional proximity sensor","authors":"M. Deguchi","doi":"10.21307/ijssis-2021-018","DOIUrl":"https://doi.org/10.21307/ijssis-2021-018","url":null,"abstract":"Abstract In the capacitive proximity sensing method, arranging multiple sensing electrodes makes it possible to obtain the three-dimensional position of a nearby object. The author has developed a capacitive proximity sensing method using LC resonance in three reactance elements. In this method, the detectable area can be greatly extended by the floating electrodes, which are capacitively connected to the sensing electrode. By connecting multiple floating electrodes in series, the detectable range can be extended up to the length of the array of floating electrodes. When these electrodes are arranged on a frame, the region surrounded by the frame becomes the detectable area. By applying this frame on any surface, it is possible to make the surface within the opening of the frame a non-contact operating panel, which can be applied as a gesture input device.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 11"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43439190","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 : 2021-01-01DOI: 10.21307/ijssis-2021-020
Shruti Mishra, Noyonika Roy, Meghana B Bapat, Abhishek Gudipalli
Abstract Brain tumors and cancers are life-threatening diseases to human beings and have been on the rise. If undetected, they are deadly. With the advent of advanced medical technology, it has become imperative to accurately spot and identify these tumors at the earliest. The manuscript aims at providing an accurate method to detect and segment brain tumors from MRI scans. This is achieved by implementing watershed segmentation and threshold algorithm paired with pre and post image processing techniques. Apart from detecting the tumor region, the proposed process also enhances image quality by noise removal techniques and image quality improvement. These results give promising values when verified using several evaluation parameters such as Structural Similarity Index Measure (SSIM), Feature Similarity Index Measure (FSIM) and Peak Signal-to-Noise Ratio (PSNR) and stand out among the other similar pre-existing algorithms that they are compared with in a comparative analysis.
{"title":"Performance evaluation of brain tumor detection using watershed Segmentation and thresholding","authors":"Shruti Mishra, Noyonika Roy, Meghana B Bapat, Abhishek Gudipalli","doi":"10.21307/ijssis-2021-020","DOIUrl":"https://doi.org/10.21307/ijssis-2021-020","url":null,"abstract":"Abstract Brain tumors and cancers are life-threatening diseases to human beings and have been on the rise. If undetected, they are deadly. With the advent of advanced medical technology, it has become imperative to accurately spot and identify these tumors at the earliest. The manuscript aims at providing an accurate method to detect and segment brain tumors from MRI scans. This is achieved by implementing watershed segmentation and threshold algorithm paired with pre and post image processing techniques. Apart from detecting the tumor region, the proposed process also enhances image quality by noise removal techniques and image quality improvement. These results give promising values when verified using several evaluation parameters such as Structural Similarity Index Measure (SSIM), Feature Similarity Index Measure (FSIM) and Peak Signal-to-Noise Ratio (PSNR) and stand out among the other similar pre-existing algorithms that they are compared with in a comparative analysis.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 12"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45613457","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 : 2021-01-01DOI: 10.21307/ijssis-2021-017
Rohan Ibn Azad, S. Mukhopadhyay, M. Asadnia
Abstract Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed tomography (CT) scans for humans and animals. This paper proposes applications of deep learning in detecting cancerous cells inside patients via laparoscopic camera on da Vinci Xi surgical robots. The paper presents method for detecting tumor via object detection and classification/localizing using GRAD-CAM. Localization means heat map is drawn on the image highlighting the classified class. Analyzing images collected from publicly available partial robotic nephrectomy videos, for object detection, the final mAP was 0.974 and for classification the accuracy was 0.84.
{"title":"Using explainable deep learning in da Vinci Xi robot for tumor detection","authors":"Rohan Ibn Azad, S. Mukhopadhyay, M. Asadnia","doi":"10.21307/ijssis-2021-017","DOIUrl":"https://doi.org/10.21307/ijssis-2021-017","url":null,"abstract":"Abstract Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed tomography (CT) scans for humans and animals. This paper proposes applications of deep learning in detecting cancerous cells inside patients via laparoscopic camera on da Vinci Xi surgical robots. The paper presents method for detecting tumor via object detection and classification/localizing using GRAD-CAM. Localization means heat map is drawn on the image highlighting the classified class. Analyzing images collected from publicly available partial robotic nephrectomy videos, for object detection, the final mAP was 0.974 and for classification the accuracy was 0.84.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 16"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44043745","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}
Abstract A forest has different types of vegetation like herbs, trees, shrubs and different species of animals. In one way or other, these renewable resources are very essential to mankind. Forest fires are the most common hazards in forests which lead to serious destruction of forest wealth, bio-diversity and natural habitat. Early detection and preventive measures are necessary to protect forests from fires. In order to achieve early detection, there are two most used traditional methods of human surveillance. One is directly through human observation and the other is through distant video surveillance. Doing the observation through distant mode, one can achieve surveillance through automation approach of detection. Automated fire alert detection system proposed in this paper comprises of two sensors, namely smoke and fire. These sensors detect change in a measurable physical quantity and help in the early detection of a forest fire. A key feature of this fire detection system is to alert the user remotely by using a GSM module, whenever a fire is detected.
{"title":"Forest fire detection using wireless sensor networks","authors":"Premsai Dasari, Gundam Krishna Jayanth Reddy, Abhishek Gudipalli","doi":"10.21307/ijssis-2020-006","DOIUrl":"https://doi.org/10.21307/ijssis-2020-006","url":null,"abstract":"Abstract A forest has different types of vegetation like herbs, trees, shrubs and different species of animals. In one way or other, these renewable resources are very essential to mankind. Forest fires are the most common hazards in forests which lead to serious destruction of forest wealth, bio-diversity and natural habitat. Early detection and preventive measures are necessary to protect forests from fires. In order to achieve early detection, there are two most used traditional methods of human surveillance. One is directly through human observation and the other is through distant video surveillance. Doing the observation through distant mode, one can achieve surveillance through automation approach of detection. Automated fire alert detection system proposed in this paper comprises of two sensors, namely smoke and fire. These sensors detect change in a measurable physical quantity and help in the early detection of a forest fire. A key feature of this fire detection system is to alert the user remotely by using a GSM module, whenever a fire is detected.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 8"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48247304","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 : 2020-01-01DOI: 10.21307/ijssis-2020-016
K. Deepa, Zaheeruddin, Shruti Vashist
Abstract Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used to screen and manage traffic congestion, electricity influxes, extreme weather, and so on. This is done through a network of transmission lines, smart sensors, and smart meters. It is required to distribute and accumulate information remotely on timely basis from different stages of the grid. The periodic data from the smart meters are transferred to MDMS through WSN’s. In WSN’s, depletion of energy due to unequal load on the sensors is a serious issue, which is to be addressed as it affects the operations of the entire network. To assist these traffic requirements and to boost the network lifetime, asynchronous work sleep cycle approach can be used to create node connections. In this article, an energy-efficient adaptive fuzzy-based multi-disjoint routing protocol in WSN’s for smart grids abbreviated as (MDRP) is proposed, where the next hop node is decided through fuzzy logic. Once the subsequent node is decided, a spanning tree is constructed with the sink node as its root, which calculates the optimal path cost, to transmit the collected data. Furthermore, the simulation results show that the proposed MDRP performs better in terms of network lifetime, packet delivery ratio, total energy consumption, etc.
{"title":"MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids","authors":"K. Deepa, Zaheeruddin, Shruti Vashist","doi":"10.21307/ijssis-2020-016","DOIUrl":"https://doi.org/10.21307/ijssis-2020-016","url":null,"abstract":"Abstract Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used to screen and manage traffic congestion, electricity influxes, extreme weather, and so on. This is done through a network of transmission lines, smart sensors, and smart meters. It is required to distribute and accumulate information remotely on timely basis from different stages of the grid. The periodic data from the smart meters are transferred to MDMS through WSN’s. In WSN’s, depletion of energy due to unequal load on the sensors is a serious issue, which is to be addressed as it affects the operations of the entire network. To assist these traffic requirements and to boost the network lifetime, asynchronous work sleep cycle approach can be used to create node connections. In this article, an energy-efficient adaptive fuzzy-based multi-disjoint routing protocol in WSN’s for smart grids abbreviated as (MDRP) is proposed, where the next hop node is decided through fuzzy logic. Once the subsequent node is decided, a spanning tree is constructed with the sink node as its root, which calculates the optimal path cost, to transmit the collected data. Furthermore, the simulation results show that the proposed MDRP performs better in terms of network lifetime, packet delivery ratio, total energy consumption, etc.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 15"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48432858","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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