Pub Date : 2016-10-01DOI: 10.1109/ICWISE.2016.8188542
Hailong Jiao, Chong Shen, Gaoang Feng, Peng Ling
Ultra Wideband Real-Time Location System (UWB RTLS) is a real-time positioning system with high precision, which contains a number of positioning tags and anchors, and the collision between multi tags is the main reason that affects the communication efficiency and positioning accuracy in UWB RTLS. The ALOHA algorithm and the binary tree algorithm are the mainstream of the anti-collision algorithm. Therefore, the ALOHA anti-collision algorithm is proposed in the UWB multi-tags positioning system. This algorithm is suitable for the dynamic change of the tag's capacity and the system, and it can effectively improve the system efficiency.
{"title":"Research on multi-tag anti-collision algorithm based on UWB real-time positioning system","authors":"Hailong Jiao, Chong Shen, Gaoang Feng, Peng Ling","doi":"10.1109/ICWISE.2016.8188542","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188542","url":null,"abstract":"Ultra Wideband Real-Time Location System (UWB RTLS) is a real-time positioning system with high precision, which contains a number of positioning tags and anchors, and the collision between multi tags is the main reason that affects the communication efficiency and positioning accuracy in UWB RTLS. The ALOHA algorithm and the binary tree algorithm are the mainstream of the anti-collision algorithm. Therefore, the ALOHA anti-collision algorithm is proposed in the UWB multi-tags positioning system. This algorithm is suitable for the dynamic change of the tag's capacity and the system, and it can effectively improve the system efficiency.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125795814","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188550
A. R. A. Rudin, L. Audah, A. Jamil, J. Abdullah
The Internet of Things (IoT) is the network of objects such as vehicles, mobile devices, and buildings with electronic components, software, and network connectivity, which enable these objects to collect data, to run commands, and to be controlled through the Internet. Controlling physical items from the Internet will increase efficiency and save time. The growing number of devices used by people increases the practicality of having IoT devices on the market. The IoT is also an opportunity to develop products that can save money, time and increase the work efficiency. There are no easy methods to check whether a sports facility is full or not. Students living far from the universities have difficulty knowing whether the sports facility is available or not. The aim of this project is to provide a solution to the problem of campus sports facilities occupancy. The project is implemented using Raspberry Pi 2, Microsoft Azure IoT suite as the Web server, Google application program interface (API) as the booking schedule camera, and an Radio-frequency identification (RFID) scanner. At the end of this project, a system is created that can be implemented for the campus badminton court. An application can be downloaded from the Microsoft Store to make bookings and view the badminton court. The project will provide useful information for the university's students and staff who are interested in using the badminton court facility. The application created can be ported to other platforms such as iOS and Android for future work.
{"title":"Occupancy monitoring system for campus sports facilities using the Internet of Things (IoT)","authors":"A. R. A. Rudin, L. Audah, A. Jamil, J. Abdullah","doi":"10.1109/ICWISE.2016.8188550","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188550","url":null,"abstract":"The Internet of Things (IoT) is the network of objects such as vehicles, mobile devices, and buildings with electronic components, software, and network connectivity, which enable these objects to collect data, to run commands, and to be controlled through the Internet. Controlling physical items from the Internet will increase efficiency and save time. The growing number of devices used by people increases the practicality of having IoT devices on the market. The IoT is also an opportunity to develop products that can save money, time and increase the work efficiency. There are no easy methods to check whether a sports facility is full or not. Students living far from the universities have difficulty knowing whether the sports facility is available or not. The aim of this project is to provide a solution to the problem of campus sports facilities occupancy. The project is implemented using Raspberry Pi 2, Microsoft Azure IoT suite as the Web server, Google application program interface (API) as the booking schedule camera, and an Radio-frequency identification (RFID) scanner. At the end of this project, a system is created that can be implemented for the campus badminton court. An application can be downloaded from the Microsoft Store to make bookings and view the badminton court. The project will provide useful information for the university's students and staff who are interested in using the badminton court facility. The application created can be ported to other platforms such as iOS and Android for future work.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447331","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188543
Sain Saginbekov, Chingiz Shakenov
Software development for Wireless Sensor Networks (WSNs) is challenging due to characteristics of sensor nodes and the environment they are deployed in. Testing software in a real WSN testbed allows users to get reliable test results. However, real testbeds become more expensive as the number of sensor nodes in the network grows. Simulation tools are alternatives to real testbeds, because they are cheaper, faster and repeatable. However, simulation results are not reliable as that of testbeds. Therefore, there is a need for a testing tool that can leverage the advantages of testbeds and simulation tools. These tools are usually called hybrid simulators. This paper presents a survey of existing up-to-date hybrid simulators that use real sensor motes integrated with a simulator to make software development cheaper, repeatable and to make the results more reliable.
{"title":"Hybrid simulators for wireless sensor networks","authors":"Sain Saginbekov, Chingiz Shakenov","doi":"10.1109/ICWISE.2016.8188543","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188543","url":null,"abstract":"Software development for Wireless Sensor Networks (WSNs) is challenging due to characteristics of sensor nodes and the environment they are deployed in. Testing software in a real WSN testbed allows users to get reliable test results. However, real testbeds become more expensive as the number of sensor nodes in the network grows. Simulation tools are alternatives to real testbeds, because they are cheaper, faster and repeatable. However, simulation results are not reliable as that of testbeds. Therefore, there is a need for a testing tool that can leverage the advantages of testbeds and simulation tools. These tools are usually called hybrid simulators. This paper presents a survey of existing up-to-date hybrid simulators that use real sensor motes integrated with a simulator to make software development cheaper, repeatable and to make the results more reliable.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132744544","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8187757
A. Soetedjo, A. Lomi, Y. I. Nakhoda
This paper presents the implementation of optimization technique on the HEMS (Home Energy Management System). The objective of load scheduling optimization problem is to minimize the peak hourly load power consumption. The Raspberry Pi module is employed as the smart controller installed at a home. The smart controller is used to solve the optimization problem using MILP (Mixed Integer Linear Programming). It communicates with the load controllers implemented on the Arduino microcontroller over the ZigBee wireless network. The experiment results show that the proposed system is able to compute the MILP in real-time at 396 ms, very fast compared to the hourly interval used by the optimization technique. Further, the transmission time from smart controller to the local controller, and vice versa is 167 ms and 187 ms respectively.
{"title":"Implementation of optimization technique on the embedded systems and wireless sensor networks for home energy management in smart grid","authors":"A. Soetedjo, A. Lomi, Y. I. Nakhoda","doi":"10.1109/ICWISE.2016.8187757","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8187757","url":null,"abstract":"This paper presents the implementation of optimization technique on the HEMS (Home Energy Management System). The objective of load scheduling optimization problem is to minimize the peak hourly load power consumption. The Raspberry Pi module is employed as the smart controller installed at a home. The smart controller is used to solve the optimization problem using MILP (Mixed Integer Linear Programming). It communicates with the load controllers implemented on the Arduino microcontroller over the ZigBee wireless network. The experiment results show that the proposed system is able to compute the MILP in real-time at 396 ms, very fast compared to the hourly interval used by the optimization technique. Further, the transmission time from smart controller to the local controller, and vice versa is 167 ms and 187 ms respectively.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134245485","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188547
Amri Yusoff, Shahrizuan Shafiril, G. Wills, L. Gilbert, R. Crowder
Current study shows that the advances in wireless sensor technology create a chance to promptly and effortlessly deploy low-cost, wide-scale and a network of low-power sensors across moderately considerable environmental areas. Additionally, the advancement and increase of small but affordable wireless hardware is further completed by the open source software components that rapidly developed. A variety of wireless sensor products are offered for environmental monitoring as well as compromising mass-produced network hardware that are well-suited with the Arduino open-source platform. The aim of this research had been concerned with the implementation of sensors to develop low-cost monitoring system for capturing environmental data in the forest. In fact, the main focus for developing this device had been to measure the temperature, humidity, as well as hazardous gaseous, such as carbon monoxide, butane, propane, methane, and carbon dioxide. In addition, the device must be able to detect fire and rain, whereby all the data gathered from the device were transmitted to GSM by sending message in real-time. The device was also equipped with GPS function to track the location of the device by its latitude and longitude.
{"title":"Utilizing the application of sensors to develop low-cost remote sensing system for monitoring forest environmental activity","authors":"Amri Yusoff, Shahrizuan Shafiril, G. Wills, L. Gilbert, R. Crowder","doi":"10.1109/ICWISE.2016.8188547","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188547","url":null,"abstract":"Current study shows that the advances in wireless sensor technology create a chance to promptly and effortlessly deploy low-cost, wide-scale and a network of low-power sensors across moderately considerable environmental areas. Additionally, the advancement and increase of small but affordable wireless hardware is further completed by the open source software components that rapidly developed. A variety of wireless sensor products are offered for environmental monitoring as well as compromising mass-produced network hardware that are well-suited with the Arduino open-source platform. The aim of this research had been concerned with the implementation of sensors to develop low-cost monitoring system for capturing environmental data in the forest. In fact, the main focus for developing this device had been to measure the temperature, humidity, as well as hazardous gaseous, such as carbon monoxide, butane, propane, methane, and carbon dioxide. In addition, the device must be able to detect fire and rain, whereby all the data gathered from the device were transmitted to GSM by sending message in real-time. The device was also equipped with GPS function to track the location of the device by its latitude and longitude.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122260201","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188546
J. Tan, V. Teh, H. M. Teck, Z. H. Lim, C. Manoharen, F. Sukarni, R. J. Iikim, S. Omar, C. Tan, W. K. Teo, T. Chew, F. H. Wong, M. Y. Wong, S. J. Wong, L. Audah, N. S. Suriani
In Agriculture, farming is an important process to provide us foods. The production of farming is increasing due to the world population increased. Scientists and Engineers are working on it in order to increase the productions and reduce the time required. Hence, planting and harvest technologies are improved significantly. However, the farming delivering process also is a very important process to make sure the foods are fresh and in good condition, which is not highly emphasized by the people yet. The problem is the process of the traditional delivery system is too slow. Jackbot Mark I is a solution to this problem. Jackbot Mark I is a robot that has the ability to move and carry loads. It is a robotic delivery system that is applicable in farming warehouses. The robot was built to be fully automatic with onboard sensors to obtain information about the surrounding environment when the switches are on. A microcontroller-Raspberry Pi 2 is used to control the robot. The robot move using line-follower concept. The robot will move the desired destination decided by the user and stop when it reach the destination. In short, the robot helps people reduce time in the farming delivering process.
在农业中，农业是为我们提供食物的重要过程。由于世界人口的增加，农业生产也在增加。科学家和工程师们正在努力提高产量，减少所需时间。因此，种植和收获技术得到了显著改善。然而，农业运输过程也是一个非常重要的过程，以确保食物新鲜和良好的状态，这一点还没有得到人们的高度重视。问题是传统的配送系统的过程太慢了。Jackbot Mark I就是这个问题的解决方案。Jackbot Mark I是一个具有移动和负重能力的机器人。这是一种适用于农业仓库的机器人配送系统。该机器人是全自动的，内置传感器，当开关打开时，可以获取周围环境的信息。控制机器人的微控制器是树莓派2。机器人的移动采用跟随线的概念。机器人将移动到用户指定的目的地，到达目的地后停止。简而言之，机器人可以帮助人们减少农业运输过程中的时间。
{"title":"Future farming — Robotic delivery system Jackbot Mark I","authors":"J. Tan, V. Teh, H. M. Teck, Z. H. Lim, C. Manoharen, F. Sukarni, R. J. Iikim, S. Omar, C. Tan, W. K. Teo, T. Chew, F. H. Wong, M. Y. Wong, S. J. Wong, L. Audah, N. S. Suriani","doi":"10.1109/ICWISE.2016.8188546","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188546","url":null,"abstract":"In Agriculture, farming is an important process to provide us foods. The production of farming is increasing due to the world population increased. Scientists and Engineers are working on it in order to increase the productions and reduce the time required. Hence, planting and harvest technologies are improved significantly. However, the farming delivering process also is a very important process to make sure the foods are fresh and in good condition, which is not highly emphasized by the people yet. The problem is the process of the traditional delivery system is too slow. Jackbot Mark I is a solution to this problem. Jackbot Mark I is a robot that has the ability to move and carry loads. It is a robotic delivery system that is applicable in farming warehouses. The robot was built to be fully automatic with onboard sensors to obtain information about the surrounding environment when the switches are on. A microcontroller-Raspberry Pi 2 is used to control the robot. The robot move using line-follower concept. The robot will move the desired destination decided by the user and stop when it reach the destination. In short, the robot helps people reduce time in the farming delivering process.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132453941","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8187755
Hoan-Suk Choi, Deok-Hee Kang, Naesoo Kim, W. Rhee
Most services such as social network service, IoT service and media service are producing, consuming and spreading information based on human's relationships, activities and interests. Therefore, the relative information based service is required. But, it is difficult to utilize relative information because each service has own environment. Therefore, we propose cross-domain metadata environment which can remove heterogeneity of each data format and integrate them.
{"title":"Cross-domain metadata environment for relative information-based service","authors":"Hoan-Suk Choi, Deok-Hee Kang, Naesoo Kim, W. Rhee","doi":"10.1109/ICWISE.2016.8187755","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8187755","url":null,"abstract":"Most services such as social network service, IoT service and media service are producing, consuming and spreading information based on human's relationships, activities and interests. Therefore, the relative information based service is required. But, it is difficult to utilize relative information because each service has own environment. Therefore, we propose cross-domain metadata environment which can remove heterogeneity of each data format and integrate them.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133544562","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188548
R. K. Kalle
Industrial Internet of Things (IIoT) requires superior reliability from underlying communication technology that consumer wireless technologies often fail to meet. New physical layer techniques have been proposed to enhance the performance of wireless monitoring and control networks to address this challenge. Utilizing polarization diversity techniques through Rotating Polarization Waves (RPW) have been recently proposed to improve the coverage and reliability of IIoT network. In industrial environments that have large metallic scatterers, RPW can improve the coverage and reliability as compared to fixed polarization radio waves. However, suitable multiple access protocol to utilize the polarization diversity is a subject of ongoing research. In this paper, novel medium access techniques to improve the reliability and support priority in the RPW wireless communication have been described. Also, an overview of medium access (MAC) protocol and analytical model to support above functions is provided.
{"title":"Reliable and prioritized communication using polarization diversity for industrial Internet of Things","authors":"R. K. Kalle","doi":"10.1109/ICWISE.2016.8188548","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188548","url":null,"abstract":"Industrial Internet of Things (IIoT) requires superior reliability from underlying communication technology that consumer wireless technologies often fail to meet. New physical layer techniques have been proposed to enhance the performance of wireless monitoring and control networks to address this challenge. Utilizing polarization diversity techniques through Rotating Polarization Waves (RPW) have been recently proposed to improve the coverage and reliability of IIoT network. In industrial environments that have large metallic scatterers, RPW can improve the coverage and reliability as compared to fixed polarization radio waves. However, suitable multiple access protocol to utilize the polarization diversity is a subject of ongoing research. In this paper, novel medium access techniques to improve the reliability and support priority in the RPW wireless communication have been described. Also, an overview of medium access (MAC) protocol and analytical model to support above functions is provided.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125603696","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188545
S. Razali, K. Mamat, Nor Shahniza Kamal Bashah
The deployment of high densities of node due to the advancement in Wireless Sensor Network (WSN) technology had created the concern regarding the lifetime and error presented in the network. From the previous studies, Hybrid ARQ (HARQ) error control techniques can combat errors and indirectly, can reduce the energy consumption of sensor nodes. Based on the latest previous work, the HARQ algorithm was not able to combat the issue of interference levels properly that rises to Coded Division Multiple Access (CDMA). Not to mention, the implementation of high error correcting capabilities of Error Correcting Codes (ECC) in the module of HARQ on the unconducive environment will cause additional overhead. Thus, the problem regarding the interference and overhead in WSN becomes our motivation to research a better HARQ error control algorithm that follows the process of convectional Automatic Repeat Request (ARQ) and Forward Error Correction (FEC) with network condition estimation in CDMA WSN. This paper evaluated the different type of error correction schemes and existing HARQ over different Bit Length and Node Densities. This paper had demonstrated that as the network get congested, the error rates will get increased. The congested network had also increased the energy consumption that will shorter the lifetime of the network.
{"title":"Implementation of Hybrid ARQ (HARQ) error control algorithm for lifetime maximization and low overhead CDMA Wireless Sensor Network (WSN)","authors":"S. Razali, K. Mamat, Nor Shahniza Kamal Bashah","doi":"10.1109/ICWISE.2016.8188545","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188545","url":null,"abstract":"The deployment of high densities of node due to the advancement in Wireless Sensor Network (WSN) technology had created the concern regarding the lifetime and error presented in the network. From the previous studies, Hybrid ARQ (HARQ) error control techniques can combat errors and indirectly, can reduce the energy consumption of sensor nodes. Based on the latest previous work, the HARQ algorithm was not able to combat the issue of interference levels properly that rises to Coded Division Multiple Access (CDMA). Not to mention, the implementation of high error correcting capabilities of Error Correcting Codes (ECC) in the module of HARQ on the unconducive environment will cause additional overhead. Thus, the problem regarding the interference and overhead in WSN becomes our motivation to research a better HARQ error control algorithm that follows the process of convectional Automatic Repeat Request (ARQ) and Forward Error Correction (FEC) with network condition estimation in CDMA WSN. This paper evaluated the different type of error correction schemes and existing HARQ over different Bit Length and Node Densities. This paper had demonstrated that as the network get congested, the error rates will get increased. The congested network had also increased the energy consumption that will shorter the lifetime of the network.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122581638","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 : 2016-10-01DOI: 10.1109/ICWISE.2016.8188551
Qun Zhou, Chong Shen, Xiaosi Chen, Gaoang Feng
Ultra-Wideband (UWB) technology with high data transfer rate, high temporal resolution and the advantages of strong penetrability, in short distance, the complex environment in the wireless sensor network location technology has attracted great interest. This article mainly through to the development of UWB technology and combining with a large number of the latest work, summarizes the technical development trajectory, discusses the location in the wireless network based on the technology of UWB technology, the algorithm. Combined with some of the latest research results, based on UWB wireless positioning technology is still existing problems and development direction.
{"title":"UWB wireless positioning technology in the application","authors":"Qun Zhou, Chong Shen, Xiaosi Chen, Gaoang Feng","doi":"10.1109/ICWISE.2016.8188551","DOIUrl":"https://doi.org/10.1109/ICWISE.2016.8188551","url":null,"abstract":"Ultra-Wideband (UWB) technology with high data transfer rate, high temporal resolution and the advantages of strong penetrability, in short distance, the complex environment in the wireless sensor network location technology has attracted great interest. This article mainly through to the development of UWB technology and combining with a large number of the latest work, summarizes the technical development trajectory, discusses the location in the wireless network based on the technology of UWB technology, the algorithm. Combined with some of the latest research results, based on UWB wireless positioning technology is still existing problems and development direction.","PeriodicalId":358005,"journal":{"name":"2016 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133185607","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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