Comparison of actual running machine and recognized running machine using our prototype system for 25 minutes of time. Multivariate Gaussian Acoustic Model Naive Bayes classifier with equal prior probability Circle 1,2,3 shows the position of a microwave, a fan and a vacuum cleaner respectively at our lab office. Square 1,2,3,4 and 5 shows the position from we have identified the current running machine using our prototype application. We develop a prototype system in Android phone (Nexus S)
{"title":"MachineSense: detecting and monitoring active machines using smart phone","authors":"M. Uddin, T. Nadeem","doi":"10.1145/2436196.2436205","DOIUrl":"https://doi.org/10.1145/2436196.2436205","url":null,"abstract":"Comparison of actual running machine and recognized running machine using our prototype system for 25 minutes of time. Multivariate Gaussian Acoustic Model Naive Bayes classifier with equal prior probability Circle 1,2,3 shows the position of a microwave, a fan and a vacuum cleaner respectively at our lab office. Square 1,2,3,4 and 5 shows the position from we have identified the current running machine using our prototype application. We develop a prototype system in Android phone (Nexus S)","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90554895","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}
Recognizing and understanding of environmental sounds shall give higher semantics of the surrounding context and situation. This paper presents a proposal of an innovative environmental sound recognition method as a combination of robust ICA basis in a frequency domain and robust MP feature in the time domain. Implementation details and its performance evaluations are presented. Its feasibility and future works are provided.
{"title":"Recognition of environmental sound recorded by mobile phone","authors":"Reona Mogi, H. Kasai","doi":"10.1145/2436196.2436201","DOIUrl":"https://doi.org/10.1145/2436196.2436201","url":null,"abstract":"Recognizing and understanding of environmental sounds shall give higher semantics of the surrounding context and situation. This paper presents a proposal of an innovative environmental sound recognition method as a combination of robust ICA basis in a frequency domain and robust MP feature in the time domain. Implementation details and its performance evaluations are presented. Its feasibility and future works are provided.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78469307","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}
C. Hsieh, H. Falaki, N. Ramanathan, H. Tangmunarunkit, D. Estrin
Sensor-rich smartphones are enabling a new class of applications and systems with significant potential to improve users’ daily lives. These applications, referred to as continuous sensing applications, continuously collect sensor data from on-board and external sensors and apply machine learning techniques to extract meaningful information about users’ behaviour and environment[1, 2, 6]. To collect the required sensor data, a continuous sensing application needs to communicate with different software entities on the phone including a) system services that interface with on-board sensors; b) drivers of off-board sensors, which are often proprietary applications developed by sensor manufacturers; and c) other sensing applications to obtain relevant user and context information. For enhanced security and privacy on modern smartphone platforms, each application runs within its own process. Therefore, Inter-Process Communication (IPC) mechanisms are crucial to continuous sensing applications. Current sensing sampling rates range from 32 bytes/sec for accelerometer and location data [5]; 63 bytes/sec for user and system context information, such as CPU, memory, and phone call, SMS records[3]; 88 KB/sec for acoustic data; and 232 KB/sec for image documentation [4]. Different sensing applications require IPC that can support a transfer of few bytes to hundreds of kilobytes, and frequencies of 0.1Hz to 1Hz. Ideal inter-process communication for continuous sensing applications must therefore meet the following performance requirements: 1) Low latency since the IPC transactions are on the critical path of the data collecting process; 2) Resource efficiency to minimize interference with device interactivity, performance, and availability; 3) Variable Bandwidth to accommodate a wide range of application demands from a few bytes to several hundreds of kilobytes per second as described earlier. We study the performance of three Android IPC mechanisms: 1) Binder, a remote-procedure-call (RPC) mechanism that enables a process to remotely invoke functions running on another process; Binder adopts a direct-message-copy scheme to transfer the IPC payload with only single data copy. 2) Intent, a flexible message passing system, implemented using two Binder RPC calls, allowing applications to send messages to each other; and 3) Content Provider, a data storehouse mechanism that implements various SQL-like IPC interfaces, in which the query operation uniquely incorporates a shared memory region to facilitate the transmission of possibly large query results.
{"title":"Performance evaluation of android IPC for continuous sensing applications","authors":"C. Hsieh, H. Falaki, N. Ramanathan, H. Tangmunarunkit, D. Estrin","doi":"10.1145/2436196.2436200","DOIUrl":"https://doi.org/10.1145/2436196.2436200","url":null,"abstract":"Sensor-rich smartphones are enabling a new class of applications and systems with significant potential to improve users’ daily lives. These applications, referred to as continuous sensing applications, continuously collect sensor data from on-board and external sensors and apply machine learning techniques to extract meaningful information about users’ behaviour and environment[1, 2, 6]. To collect the required sensor data, a continuous sensing application needs to communicate with different software entities on the phone including a) system services that interface with on-board sensors; b) drivers of off-board sensors, which are often proprietary applications developed by sensor manufacturers; and c) other sensing applications to obtain relevant user and context information. For enhanced security and privacy on modern smartphone platforms, each application runs within its own process. Therefore, Inter-Process Communication (IPC) mechanisms are crucial to continuous sensing applications. Current sensing sampling rates range from 32 bytes/sec for accelerometer and location data [5]; 63 bytes/sec for user and system context information, such as CPU, memory, and phone call, SMS records[3]; 88 KB/sec for acoustic data; and 232 KB/sec for image documentation [4]. Different sensing applications require IPC that can support a transfer of few bytes to hundreds of kilobytes, and frequencies of 0.1Hz to 1Hz. Ideal inter-process communication for continuous sensing applications must therefore meet the following performance requirements: 1) Low latency since the IPC transactions are on the critical path of the data collecting process; 2) Resource efficiency to minimize interference with device interactivity, performance, and availability; 3) Variable Bandwidth to accommodate a wide range of application demands from a few bytes to several hundreds of kilobytes per second as described earlier. We study the performance of three Android IPC mechanisms: 1) Binder, a remote-procedure-call (RPC) mechanism that enables a process to remotely invoke functions running on another process; Binder adopts a direct-message-copy scheme to transfer the IPC payload with only single data copy. 2) Intent, a flexible message passing system, implemented using two Binder RPC calls, allowing applications to send messages to each other; and 3) Content Provider, a data storehouse mechanism that implements various SQL-like IPC interfaces, in which the query operation uniquely incorporates a shared memory region to facilitate the transmission of possibly large query results.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86478447","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}
Hanno Wirtz, David Martin, Benjamin Grap, Klaus Wehrle
Typical scenarios in the city or on campus, show a high proliferation of wireless communication devices such as smartphones, laptops or netbooks. Wireless 802.11 networks between these devices allow for a spontaneous exchange of content or provision of services without the need for infrastructure-based services. However, the above mentioned proliferation of devices and therefore large number of networks hinders users in identifying and selecting the network that serves a specific request. We propose an approach to client-driven content-centric wireless networking in which the user specifically signals his request for a user, content item or service via 802.11 management frames. Upon reception of these frames, wireless devices that serve this request establish a dedicated wireless network on-demand. Our approach seamlessly integrates into the 802.11 association process and therefore provides support for unmodified wireless devices. By leveraging the wireless broadcast medium, we achieve pervasive service and peer discovery without the overhead of iterating through existing networks or running a traditional service discovery protocol.
{"title":"On-demand content-centric wireless networking","authors":"Hanno Wirtz, David Martin, Benjamin Grap, Klaus Wehrle","doi":"10.1145/2436196.2436222","DOIUrl":"https://doi.org/10.1145/2436196.2436222","url":null,"abstract":"Typical scenarios in the city or on campus, show a high proliferation of wireless communication devices such as smartphones, laptops or netbooks. Wireless 802.11 networks between these devices allow for a spontaneous exchange of content or provision of services without the need for infrastructure-based services. However, the above mentioned proliferation of devices and therefore large number of networks hinders users in identifying and selecting the network that serves a specific request. We propose an approach to client-driven content-centric wireless networking in which the user specifically signals his request for a user, content item or service via 802.11 management frames. Upon reception of these frames, wireless devices that serve this request establish a dedicated wireless network on-demand. Our approach seamlessly integrates into the 802.11 association process and therefore provides support for unmodified wireless devices. By leveraging the wireless broadcast medium, we achieve pervasive service and peer discovery without the overhead of iterating through existing networks or running a traditional service discovery protocol.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73926795","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}
Wi-Fi is becoming widely popular network interface for data communication in smart phones because of it’s high throughput, power efficiency and relatively larger range. However, the Wi-Fi network still has some perturbation such as high consumption of energy and bandwidth for detecting the contention and collision, energy consumption in idle state for continuous scanning of new networks and poor utilization of wireless channel for not detecting packet loss or collision while a transmitter is transmitting. In addition, Wi-Fi needs to transmit low rate of control packets (RTS/CTS) in order to access the channels. Researchers have proposed to use other existing wireless network interface (Bluetooth , ZigBee etc.) as a parallel communication for enhancing the performance of Wi-Fi network by addressing above issues [1], [2]. Although the solution of using bluetooth, ZigBee in parallel with WiFi improves the performance, it creates severe interference with Wi-Fi for communicating in the same frequency band (2.4GHz). In our project, we like to enhance the performance of data communication over the Wi-Fi network by integrating the mic/speaker of the smart phones as a parallel communication channel. Our idea is to propose a novel framework of communication using mic/speaker in order to develop a more efficient Wi-Fi network communication. The non-interferential nature with Wi-Fi network is the biggest advantage of using audio communication channel for this purpose. For audio communication we like to exploit frequency band beyond normal human ear perception. At our knowledge, most of the smart phones are both capable of generating and discerning audio frequency beyond human ear perception.
{"title":"Audio-WiFi: audio channel assisted WiFi network for smart phones","authors":"M. Uddin, T. Nadeem","doi":"10.1145/2436196.2436204","DOIUrl":"https://doi.org/10.1145/2436196.2436204","url":null,"abstract":"Wi-Fi is becoming widely popular network interface for data communication in smart phones because of it’s high throughput, power efficiency and relatively larger range. However, the Wi-Fi network still has some perturbation such as high consumption of energy and bandwidth for detecting the contention and collision, energy consumption in idle state for continuous scanning of new networks and poor utilization of wireless channel for not detecting packet loss or collision while a transmitter is transmitting. In addition, Wi-Fi needs to transmit low rate of control packets (RTS/CTS) in order to access the channels. Researchers have proposed to use other existing wireless network interface (Bluetooth , ZigBee etc.) as a parallel communication for enhancing the performance of Wi-Fi network by addressing above issues [1], [2]. Although the solution of using bluetooth, ZigBee in parallel with WiFi improves the performance, it creates severe interference with Wi-Fi for communicating in the same frequency band (2.4GHz). In our project, we like to enhance the performance of data communication over the Wi-Fi network by integrating the mic/speaker of the smart phones as a parallel communication channel. Our idea is to propose a novel framework of communication using mic/speaker in order to develop a more efficient Wi-Fi network communication. The non-interferential nature with Wi-Fi network is the biggest advantage of using audio communication channel for this purpose. For audio communication we like to exploit frequency band beyond normal human ear perception. At our knowledge, most of the smart phones are both capable of generating and discerning audio frequency beyond human ear perception.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87439341","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}
Matthias Lange, Steffen Liebergeld, A. Lackorzynski, Alexander Warg, Janis Danisevskis, Jan C. Nordholz
There is a recent trend to use privately owned mobile devices in corporate environments. This poses serious threats on the security of corporate data. In this demo we show how we applied an efficient sandboxing mechanism to the Android software stack. This allows us to run multiple instances of Android securely isolated side-by-side on one device. We implemented a prototype on the Samsung Galaxy S2.
{"title":"L4Android security framework on the Samsung galaxy S2","authors":"Matthias Lange, Steffen Liebergeld, A. Lackorzynski, Alexander Warg, Janis Danisevskis, Jan C. Nordholz","doi":"10.1145/2436196.2436212","DOIUrl":"https://doi.org/10.1145/2436196.2436212","url":null,"abstract":"There is a recent trend to use privately owned mobile devices in corporate environments. This poses serious threats on the security of corporate data. In this demo we show how we applied an efficient sandboxing mechanism to the Android software stack. This allows us to run multiple instances of Android securely isolated side-by-side on one device. We implemented a prototype on the Samsung Galaxy S2.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83270487","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}
Our new area-based distributed mobile storage system enables cache data temporarily in a designated local area. It requires no infrastructure network or server. For that reason, it is sure to hasten the development of new location-based communication services. This paper reports implementation of middleware for the cache system. Furthermore, an implemented location-based message sharing application is detailed. It uses the implemented middleware via application programming interfaces.
{"title":"Implementation of distributed mobile storage and location-based message sharing among smart phones","authors":"H. Kasai","doi":"10.1145/2436196.2436208","DOIUrl":"https://doi.org/10.1145/2436196.2436208","url":null,"abstract":"Our new area-based distributed mobile storage system enables cache data temporarily in a designated local area. It requires no infrastructure network or server. For that reason, it is sure to hasten the development of new location-based communication services. This paper reports implementation of middleware for the cache system. Furthermore, an implemented location-based message sharing application is detailed. It uses the implemented middleware via application programming interfaces.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2436196.2436208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72540586","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}
Automated platooning is one of the most challenging fields in the domain of Intelligent Transportation Systems (ITS). Conceptually, platooning means creating clusters of vehicles which closely follow each other autonomously without action of the driver, neither for accelerating, nor for braking. This leads to several important benefits from substantially improved road throughput to increased safety. The control of such platoons depends on two components: First, radar is typically to be used to control the distance between the vehicles, and secondly, Inter-Vehicle Communication (IVC) helps managing the entire platoon allowing cars to join or to leave the group whenever necessary. Platooning systems have been mostly investigated in controlled environments such as dedicated highways with centralized management. However, platooning-enabled cars will be deployed gradually and might have to travel on highways together with other non-automated vehicles. We developed a combined traffic and network simulator for studying strategies and protocols needed for managing platoons in such mixed scenarios. We show the models needed and present first results using a simple IVC-based platoon management as a proof of concept.
{"title":"A simulation tool for automated platooning in mixed highway scenarios","authors":"Michele Segata, F. Dressler, R. Cigno, M. Gerla","doi":"10.1145/2436196.2436218","DOIUrl":"https://doi.org/10.1145/2436196.2436218","url":null,"abstract":"Automated platooning is one of the most challenging fields in the domain of Intelligent Transportation Systems (ITS). Conceptually, platooning means creating clusters of vehicles which closely follow each other autonomously without action of the driver, neither for accelerating, nor for braking. This leads to several important benefits from substantially improved road throughput to increased safety. The control of such platoons depends on two components: First, radar is typically to be used to control the distance between the vehicles, and secondly, Inter-Vehicle Communication (IVC) helps managing the entire platoon allowing cars to join or to leave the group whenever necessary. Platooning systems have been mostly investigated in controlled environments such as dedicated highways with centralized management. However, platooning-enabled cars will be deployed gradually and might have to travel on highways together with other non-automated vehicles. We developed a combined traffic and network simulator for studying strategies and protocols needed for managing platoons in such mixed scenarios. We show the models needed and present first results using a simple IVC-based platoon management as a proof of concept.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74420669","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}
Bastian Bloessl, Stefan Joerer, Fabian Mauroner, F. Dressler
Inter-protocol interference is one of the most critical issues in wireless communication. For example, this becomes extremely problematic in environments where robustness and realtime communication need to be considered, e.g., in industrial automation or health care applications. Recently, possible approaches for interference mitigation have been described in the literature assuming that the interferer is known in advance. We contribute to this line of research with a framework for interferer detection and classification. Essentially, we use a simple IEEE 802.15.4 transceiver as for example used on the TelosB sensor motes to scan the 2.4 GHz ISM band. This band is used by different technologies including Bluetooth, WiFi, and cordless phones. The key challenge is the accurate timing of the scanning of the frequency band. The presented framework supports flexible descriptions of such scan jobs allowing to adapt to the detectors requirements, depending on the interfering protocols.
{"title":"Low-cost interferer detection and classification using TelosB sensor motes","authors":"Bastian Bloessl, Stefan Joerer, Fabian Mauroner, F. Dressler","doi":"10.1145/2436196.2436215","DOIUrl":"https://doi.org/10.1145/2436196.2436215","url":null,"abstract":"Inter-protocol interference is one of the most critical issues in wireless communication. For example, this becomes extremely problematic in environments where robustness and realtime communication need to be considered, e.g., in industrial automation or health care applications. Recently, possible approaches for interference mitigation have been described in the literature assuming that the interferer is known in advance. We contribute to this line of research with a framework for interferer detection and classification. Essentially, we use a simple IEEE 802.15.4 transceiver as for example used on the TelosB sensor motes to scan the 2.4 GHz ISM band. This band is used by different technologies including Bluetooth, WiFi, and cordless phones. The key challenge is the accurate timing of the scanning of the frequency band. The presented framework supports flexible descriptions of such scan jobs allowing to adapt to the detectors requirements, depending on the interfering protocols.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84348561","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}
O. Altintas, Yutaka Ihara, Haris Kremo, Hideaki Tanaka, M. Ohtake, T. Fujii, C. Yoshimura, Keisuke Ando, K. Tsukamoto, M. Tsuru, Y. Oie
Vehicular networking has significant potential to enable diverse range of applications, including safety and convenience. As the number of vehicles and applications using the specially designated wireless spectrum grow, one can expect substantial increase in the bandwidth requirements. In this paper and demonstration, we advocate that dynamic spectrum access techniques facilitating the utilization of white spaces for vehicles will be the first step towards solving the expected spectrum shortage. In the demonstration, we will introduce field tests of a multi-hop inter-vehicle communication system with distributed and autonomous TV white space channel selection, performed in Japan from January to February 2012. Furthermore, in addition to the field test videos, we will show an indoor emulation of the entire system used during the field tests in the vehicles.
{"title":"Field tests and indoor emulation of distributed autonomous multi-hop vehicle-to-vehicle communications over TV white space","authors":"O. Altintas, Yutaka Ihara, Haris Kremo, Hideaki Tanaka, M. Ohtake, T. Fujii, C. Yoshimura, Keisuke Ando, K. Tsukamoto, M. Tsuru, Y. Oie","doi":"10.1145/2436196.2436221","DOIUrl":"https://doi.org/10.1145/2436196.2436221","url":null,"abstract":"Vehicular networking has significant potential to enable diverse range of applications, including safety and convenience. As the number of vehicles and applications using the specially designated wireless spectrum grow, one can expect substantial increase in the bandwidth requirements. In this paper and demonstration, we advocate that dynamic spectrum access techniques facilitating the utilization of white spaces for vehicles will be the first step towards solving the expected spectrum shortage. In the demonstration, we will introduce field tests of a multi-hop inter-vehicle communication system with distributed and autonomous TV white space channel selection, performed in Japan from January to February 2012. Furthermore, in addition to the field test videos, we will show an indoor emulation of the entire system used during the field tests in the vehicles.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84987138","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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