Pub Date : 2012-10-01DOI: 10.1109/IOT.2012.6402302
Johannes Tulusan, T. Staake, E. Fleisch
The increasing demand for energy is rapidly exhausting our planet's natural resources (e.g. fossil fuels). Corporations with increasingly large car fleets significantly contribute to the volume of CO2 emissions released into the atmosphere. Further investigation is needed to help reduce this escalation in global warming utilizing eco-friendly yet cost effective measures. Internet of Things solutions, using sensor enabled feedback technologies with GPS and accelerometer, offer a medium which provides drivers with eco-driving feedback services. A field-test with 50 corporate car drivers demonstrated an overall improvement in fuel efficiency, supporting literature findings claiming that direct feedback has a greater impact on energy savings than indirect feedback approaches. In this study monetary incentives were irrelevant, as corporate car drivers fuel costs are reimbursed by the company. This provides an attractive opportunity for corporations looking to reduce their CO2 footprint and petrol costs by offering their employees eco-driving applications at minimum costs.
{"title":"Direct or indirect sensor enabled eco-driving feedback: Which preference do corporate car drivers have?","authors":"Johannes Tulusan, T. Staake, E. Fleisch","doi":"10.1109/IOT.2012.6402302","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402302","url":null,"abstract":"The increasing demand for energy is rapidly exhausting our planet's natural resources (e.g. fossil fuels). Corporations with increasingly large car fleets significantly contribute to the volume of CO2 emissions released into the atmosphere. Further investigation is needed to help reduce this escalation in global warming utilizing eco-friendly yet cost effective measures. Internet of Things solutions, using sensor enabled feedback technologies with GPS and accelerometer, offer a medium which provides drivers with eco-driving feedback services. A field-test with 50 corporate car drivers demonstrated an overall improvement in fuel efficiency, supporting literature findings claiming that direct feedback has a greater impact on energy savings than indirect feedback approaches. In this study monetary incentives were irrelevant, as corporate car drivers fuel costs are reimbursed by the company. This provides an attractive opportunity for corporations looking to reduce their CO2 footprint and petrol costs by offering their employees eco-driving applications at minimum costs.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115332145","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402308
Wei Wang, Dong-Yu Guo
RFID technology and the Internet of Things provide a flood of information which can be regarded as a stream of complex events. The most acute complex event data management challenges today stem from organizations which rely on a large number of diverse, interrelated data sources, but with difficulties of managing their event data in a unified, integrated and correlated way. It is because ,up until now, there is no standard data stream query language and the fundamental questions in connection with data models and formal semantics for stream queries have not yet been thoroughly addressed. In this paper, we present the design of a framework named HEP which integrates the representation of two typical categories of event streams (relational and XML event streams). Our framework supports unified event fusing and processing with a general window specification that can be used to express almost all types of windows of which we are aware, and is semantically clear and easy to understand. It can be extended to new types of windows that may occur in the future for some new IoT applications. We provide a real case prototype implementation, and experiments show the usefulness and effectiveness of our method.
{"title":"Towards unified heterogeneous event processing for the Internet of Things","authors":"Wei Wang, Dong-Yu Guo","doi":"10.1109/IOT.2012.6402308","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402308","url":null,"abstract":"RFID technology and the Internet of Things provide a flood of information which can be regarded as a stream of complex events. The most acute complex event data management challenges today stem from organizations which rely on a large number of diverse, interrelated data sources, but with difficulties of managing their event data in a unified, integrated and correlated way. It is because ,up until now, there is no standard data stream query language and the fundamental questions in connection with data models and formal semantics for stream queries have not yet been thoroughly addressed. In this paper, we present the design of a framework named HEP which integrates the representation of two typical categories of event streams (relational and XML event streams). Our framework supports unified event fusing and processing with a general window specification that can be used to express almost all types of windows of which we are aware, and is semantically clear and easy to understand. It can be extended to new types of windows that may occur in the future for some new IoT applications. We provide a real case prototype implementation, and experiments show the usefulness and effectiveness of our method.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133499310","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402301
Jun Li, Yan Shvartzshnaider, J. Francisco, R. Martin, K. Nagaraja, D. Raychaudhuri
In the emerging paradigm of pervasive computing, applications change their behaviors in response to their environmental context, which is provided by the smart objects in the Internet of Things (IoT). IoT envisions building a convergent platform to share dynamic data from smart objects and middleware services that process the data. In this paper, we show that the MobilityFirst Future Internet Architecture is an ideal platform for realizing pervasive computing in an IoT framework. In particular, MobilityFirst's identity based routing, overloaded identity resolution, content caching and in-network compute plane are excellent building blocks for IoT service distribution. We then present a detailed example of a location context-aware service built as a dynamic content service, and discuss innetwork distribution of this IoT service via MobilityFirst future Internet, whereas now only possible via overlay content distribution network (CDN).
{"title":"Delivering Internet-of-Things services in MobilityFirst Future Internet Architecture","authors":"Jun Li, Yan Shvartzshnaider, J. Francisco, R. Martin, K. Nagaraja, D. Raychaudhuri","doi":"10.1109/IOT.2012.6402301","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402301","url":null,"abstract":"In the emerging paradigm of pervasive computing, applications change their behaviors in response to their environmental context, which is provided by the smart objects in the Internet of Things (IoT). IoT envisions building a convergent platform to share dynamic data from smart objects and middleware services that process the data. In this paper, we show that the MobilityFirst Future Internet Architecture is an ideal platform for realizing pervasive computing in an IoT framework. In particular, MobilityFirst's identity based routing, overloaded identity resolution, content caching and in-network compute plane are excellent building blocks for IoT service distribution. We then present a detailed example of a location context-aware service built as a dynamic content service, and discuss innetwork distribution of this IoT service via MobilityFirst future Internet, whereas now only possible via overlay content distribution network (CDN).","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123770007","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402312
Lingzhi Fu, Lirui Liu, Min Li, Junyu Wang
In this paper, a multi-tag anti-collision method with collision signal recovery for UHF RFID systems is proposed. Signal recovery of 2 tags or 3 tags is adopted in the algorithm and the frame size is optimized accordingly. Simulation results show that the average system efficiency of the proposed anti-collision algorithm can be up to 67%, while the system efficiency of the algorithms without adopting collision recovery is no more than 36.8%. The influence of non-ideal parameters in different scenarios, such as signal-noise-ratio (SNR) and frequency of clustering, is discussed as well.
{"title":"Collision recovery receiver for EPC Gen2 RFID systems","authors":"Lingzhi Fu, Lirui Liu, Min Li, Junyu Wang","doi":"10.1109/IOT.2012.6402312","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402312","url":null,"abstract":"In this paper, a multi-tag anti-collision method with collision signal recovery for UHF RFID systems is proposed. Signal recovery of 2 tags or 3 tags is adopted in the algorithm and the frame size is optimized accordingly. Simulation results show that the average system efficiency of the proposed anti-collision algorithm can be up to 67%, while the system efficiency of the algorithms without adopting collision recovery is no more than 36.8%. The influence of non-ideal parameters in different scenarios, such as signal-noise-ratio (SNR) and frequency of clustering, is discussed as well.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127387480","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402311
S. Sigg, P. Jakimovski, M. Beigl
We consider the calculation of mathematical functions at the time of wireless superimposition of data sequences in IoT environments. IoT devices will be heavily resource limited, possibly parasitic or passive powered nodes. Although restricted in their computational capabilities, such nodes draw on a virtually unlimited power source. We exploit this property by trading computational load for communication load. In particular, we present a communication scheme by which mathematical computations can be executed at the time of wireless transmission. This transmission scheme enables the execution of complex computations by a network of resource restricted, cooperating nodes at a computational load below the operation's computational complexity. We derive the scheme analytically, explore its feasibility for dense networks in mathematical simulations and demonstrate its practicability in a case study with 15 nodes.
{"title":"Calculation of functions on the RF-channel for IoT","authors":"S. Sigg, P. Jakimovski, M. Beigl","doi":"10.1109/IOT.2012.6402311","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402311","url":null,"abstract":"We consider the calculation of mathematical functions at the time of wireless superimposition of data sequences in IoT environments. IoT devices will be heavily resource limited, possibly parasitic or passive powered nodes. Although restricted in their computational capabilities, such nodes draw on a virtually unlimited power source. We exploit this property by trading computational load for communication load. In particular, we present a communication scheme by which mathematical computations can be executed at the time of wireless transmission. This transmission scheme enables the execution of complex computations by a network of resource restricted, cooperating nodes at a computational load below the operation's computational complexity. We derive the scheme analytically, explore its feasibility for dense networks in mathematical simulations and demonstrate its practicability in a case study with 15 nodes.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121034477","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402297
D. Carlson, Bashar Altakrouri, Andreas Schrader
The Web has rapidly evolved from a static informational medium into a highly capable interactive application platform. Today, Web browsers have become the de facto interface for many networked applications; however, conventional Web browsers are still unable to directly interact with the broad range of context sources and actuators available in highly heterogeneous mobile environments. In our Ambient Dynamix project, we are creating a new approach for mobile computing, where advanced context sensing and acting capabilities are deployed to mobile devices on-demand as plug-ins, and are made available to applications through only a few lines of code. In this paper, we present an extension of our Dynamix Framework, called AmbientWeb, which exposes Dynamix's plug-and-play context capabilities to Web applications running in unmodified mobile Web browsers, such as Google Chrome and Firefox. By leveraging AmbientWeb, browser-based Web applications are able to directly interact with contextually relevant resources without requiring environmental modification or Web-based proxies. For the IoT Challenge, we present a fully operational version of the AmbientWeb architecture along with an example browser-based Web application that uses runtime installed Dynamix plug-ins to discover rich, high-order contextual information, perform context-aware adaptations, and influence the physical environment through direct ad-hoc control of DMX-based lighting equipment.
{"title":"AmbientWeb: Bridging the Web's cyber-physical gap","authors":"D. Carlson, Bashar Altakrouri, Andreas Schrader","doi":"10.1109/IOT.2012.6402297","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402297","url":null,"abstract":"The Web has rapidly evolved from a static informational medium into a highly capable interactive application platform. Today, Web browsers have become the de facto interface for many networked applications; however, conventional Web browsers are still unable to directly interact with the broad range of context sources and actuators available in highly heterogeneous mobile environments. In our Ambient Dynamix project, we are creating a new approach for mobile computing, where advanced context sensing and acting capabilities are deployed to mobile devices on-demand as plug-ins, and are made available to applications through only a few lines of code. In this paper, we present an extension of our Dynamix Framework, called AmbientWeb, which exposes Dynamix's plug-and-play context capabilities to Web applications running in unmodified mobile Web browsers, such as Google Chrome and Firefox. By leveraging AmbientWeb, browser-based Web applications are able to directly interact with contextually relevant resources without requiring environmental modification or Web-based proxies. For the IoT Challenge, we present a fully operational version of the AmbientWeb architecture along with an example browser-based Web application that uses runtime installed Dynamix plug-ins to discover rich, high-order contextual information, perform context-aware adaptations, and influence the physical environment through direct ad-hoc control of DMX-based lighting equipment.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114514127","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402317
D. Carlson, Andreas Schrader
Today's mobile devices represent exceptional foundations for wide-area Internet of Things (IoT) applications. However, the vast heterogeneity of real-world environments makes it challenging for applications to sense, understand and adapt to the user's continually evolving context. We're investigating a new community-based approach for context-aware computing, where advanced context sensing capabilities are dynamically deployed to mobile devices as plug-ins, and are made available to applications through only a few lines of code. Towards this end, we're developing Dynamix, an open plug-and-play context framework for Android. Dynamix runs as lightweight background service on the user's mobile device, modeling context information from the environment using the device itself as a sensing, processing and communications platform. Mobile applications request context support from Dynamix using simple application programming interfaces (APIs). Dynamix automatically discovers, downloads and installs the plug-ins needed for a given context sensing task. When the user changes environments, new or updated plug-ins can be deployed to the device at runtime, without the need to restart the application or framework. Dynamix comes with a growing collection of ready-made plug-ins, and provides open software developments kits (SDKs) and a scalable repository architecture, which enable 3rd party developers to quickly create and share new plug-ins types with the community. This paper presents the Dynamix approach, describes our prototype implementation and presents promising performance evaluation results.
{"title":"Dynamix: An open plug-and-play context framework for android","authors":"D. Carlson, Andreas Schrader","doi":"10.1109/IOT.2012.6402317","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402317","url":null,"abstract":"Today's mobile devices represent exceptional foundations for wide-area Internet of Things (IoT) applications. However, the vast heterogeneity of real-world environments makes it challenging for applications to sense, understand and adapt to the user's continually evolving context. We're investigating a new community-based approach for context-aware computing, where advanced context sensing capabilities are dynamically deployed to mobile devices as plug-ins, and are made available to applications through only a few lines of code. Towards this end, we're developing Dynamix, an open plug-and-play context framework for Android. Dynamix runs as lightweight background service on the user's mobile device, modeling context information from the environment using the device itself as a sensing, processing and communications platform. Mobile applications request context support from Dynamix using simple application programming interfaces (APIs). Dynamix automatically discovers, downloads and installs the plug-ins needed for a given context sensing task. When the user changes environments, new or updated plug-ins can be deployed to the device at runtime, without the need to restart the application or framework. Dynamix comes with a growing collection of ready-made plug-ins, and provides open software developments kits (SDKs) and a scalable repository architecture, which enable 3rd party developers to quickly create and share new plug-ins types with the community. This paper presents the Dynamix approach, describes our prototype implementation and presents promising performance evaluation results.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123899967","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402321
Kallol Das, P. Havinga
In today's world wireless sensor networks (WSNs) have enormous applications which made our everyday life much easier. In most of these applications, the unlicensed 2.4 GHz frequency band has been used for sensor communications. Due to the wide use, the chance of getting interference in this frequency band is quite high. Thus, a reliable and real-time communication in mass WSNs can not be guaranteed, which is essential for industrial applications. In this paper, we evaluate the performance of Digital Enhanced Cordless Telecommunications - Ultra Low Energy (DECT-ULE) for robust communication in dense WSNs and found that it can cope with the limitations of existing standards. We show that DECT-ULE can elegantly handle dense WSNs by allocating communication channels with excellent quality and minimum delay.
{"title":"Evaluation of DECT-ULE for robust communication in dense wireless sensor networks","authors":"Kallol Das, P. Havinga","doi":"10.1109/IOT.2012.6402321","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402321","url":null,"abstract":"In today's world wireless sensor networks (WSNs) have enormous applications which made our everyday life much easier. In most of these applications, the unlicensed 2.4 GHz frequency band has been used for sensor communications. Due to the wide use, the chance of getting interference in this frequency band is quite high. Thus, a reliable and real-time communication in mass WSNs can not be guaranteed, which is essential for industrial applications. In this paper, we evaluate the performance of Digital Enhanced Cordless Telecommunications - Ultra Low Energy (DECT-ULE) for robust communication in dense WSNs and found that it can cope with the limitations of existing standards. We show that DECT-ULE can elegantly handle dense WSNs by allocating communication channels with excellent quality and minimum delay.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116642476","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402313
S. Mayer, D. Guinard, V. Trifa
Given the expected high number of accessible digitally augmented devices and their communication requirements, this paper presents our work on creating a Web-based infrastructure for smart things to facilitate the integration, look-up, and interaction with such devices for human users and machines. To exploit the locality of interactions with and between smart things, the proposed infrastructure treats the location of a smart thing as its main property and is therefore structured hierarchically according to logical place identifiers. We discuss the infrastructure's look-up mechanism that leverages Web patterns to foster scalability and load balancing and features an advanced caching mechanism that greatly reduces the response time and number of exchanged messages. These properties are demonstrated in an evaluation in a simulated smart environment.
{"title":"Searching in a web-based infrastructure for smart things","authors":"S. Mayer, D. Guinard, V. Trifa","doi":"10.1109/IOT.2012.6402313","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402313","url":null,"abstract":"Given the expected high number of accessible digitally augmented devices and their communication requirements, this paper presents our work on creating a Web-based infrastructure for smart things to facilitate the integration, look-up, and interaction with such devices for human users and machines. To exploit the locality of interactions with and between smart things, the proposed infrastructure treats the location of a smart thing as its main property and is therefore structured hierarchically according to logical place identifiers. We discuss the infrastructure's look-up mechanism that leverages Web patterns to foster scalability and load balancing and features an advanced caching mechanism that greatly reduces the response time and number of exchanged messages. These properties are demonstrated in an evaluation in a simulated smart environment.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121261300","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 : 2012-10-01DOI: 10.1109/IOT.2012.6402303
B. Faltings, J. Li, R. Jurca
As the Internet of Things grows to large scale, its components will increasingly be controlled by self-interested agents. For example, sensor networks will evolve to community sensing where a community of agents combine their data into a single coherent structure. As there is no central quality control, agents need to be incentivized to provide accurate measurements. We propose game-theoretic mechanisms that provide such incentives and show their application on the example of community sensing for monitoring air pollution. These mechanisms can be applied to most sensing scenarios and allow the Internet of Things to grow to much larger scale than currently exists.
{"title":"Eliciting truthful measurements from a community of sensors","authors":"B. Faltings, J. Li, R. Jurca","doi":"10.1109/IOT.2012.6402303","DOIUrl":"https://doi.org/10.1109/IOT.2012.6402303","url":null,"abstract":"As the Internet of Things grows to large scale, its components will increasingly be controlled by self-interested agents. For example, sensor networks will evolve to community sensing where a community of agents combine their data into a single coherent structure. As there is no central quality control, agents need to be incentivized to provide accurate measurements. We propose game-theoretic mechanisms that provide such incentives and show their application on the example of community sensing for monitoring air pollution. These mechanisms can be applied to most sensing scenarios and allow the Internet of Things to grow to much larger scale than currently exists.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116362462","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：