Pub Date : 2015-12-17DOI: 10.1109/IOT.2015.7356556
N. Nayak, Frank Dürr, K. Rothermel
Conventional manufacturing systems like assembly lines cannot handle the constantly changing requirements of a modern-day manufacturer, which are driven by volatile market demands. In a bid to satisfy such requirements, modern manufacturing systems, comprising innumerable cyber-physical systems (CPS), aim to be reconfigurable. CPS implement production processes through an ICT infrastructure networked with sensors and actuators embedded in the shop floor. Reconfigurability, in context of manufacturing systems, must include the entire system of networked components and hence requires a flexible ICT infrastructure. Providing flexible ICT infrastructures, often, comes at the cost of diluted quality of service (QoS) guarantees. This, however, is not an option for manufacturing systems, most of which require strict QoS guarantees to function correctly. To overcome this obstacle, we propose a new software-defined environment (SDE) for reconfigurable manufacturing systems with real-time properties in this paper. Software-defined environment is an emerging technology that provides flexible ICT infrastructures modifiable using software. Our contributions include an SDE-based system architecture for dynamically configuring the underlying infrastructure for a manufacturing system. In particular, we focus on configuring the network for the time-sensitive communication flows essential for realising CPS. Moreover, we propose a pair of routing algorithms to calculate routes for these flows while configuring the network.
{"title":"Software-defined environment for reconfigurable manufacturing systems","authors":"N. Nayak, Frank Dürr, K. Rothermel","doi":"10.1109/IOT.2015.7356556","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356556","url":null,"abstract":"Conventional manufacturing systems like assembly lines cannot handle the constantly changing requirements of a modern-day manufacturer, which are driven by volatile market demands. In a bid to satisfy such requirements, modern manufacturing systems, comprising innumerable cyber-physical systems (CPS), aim to be reconfigurable. CPS implement production processes through an ICT infrastructure networked with sensors and actuators embedded in the shop floor. Reconfigurability, in context of manufacturing systems, must include the entire system of networked components and hence requires a flexible ICT infrastructure. Providing flexible ICT infrastructures, often, comes at the cost of diluted quality of service (QoS) guarantees. This, however, is not an option for manufacturing systems, most of which require strict QoS guarantees to function correctly. To overcome this obstacle, we propose a new software-defined environment (SDE) for reconfigurable manufacturing systems with real-time properties in this paper. Software-defined environment is an emerging technology that provides flexible ICT infrastructures modifiable using software. Our contributions include an SDE-based system architecture for dynamically configuring the underlying infrastructure for a manufacturing system. In particular, we focus on configuring the network for the time-sensitive communication flows essential for realising CPS. Moreover, we propose a pair of routing algorithms to calculate routes for these flows while configuring the network.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126186482","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356557
R. Mosshammer, A. Einfalt, A. Lugmaier, Jack Hodges, F. Michahelles
The advance of Smart Grid concepts towards lower-voltage layers of the electricity grid connects an enormous number of devices, many of them through legacy automation protocols, to back-end IT systems. With many of these devices giving little or no indication as to the semantics of their data, it is customary to manually engineer this information, which is cumbersome, costly and prone to errors. In this paper, we follow the web of things approach to introduce a smart aggregation layer device which allows for easy annotation of data with URIs tying into well-established ontologies, thus abstracting from technical addressing schemes. We present an annotation engine that can interlink actors of different sophistication levels in a light-weight messaging scheme, distributing data between operative algorithms, communication applications and operator interfaces. We present results of an ongoing field deployment of this approach in Austrian Smart Grids model regions.
{"title":"Semantic annotation engine for smart grid applications","authors":"R. Mosshammer, A. Einfalt, A. Lugmaier, Jack Hodges, F. Michahelles","doi":"10.1109/IOT.2015.7356557","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356557","url":null,"abstract":"The advance of Smart Grid concepts towards lower-voltage layers of the electricity grid connects an enormous number of devices, many of them through legacy automation protocols, to back-end IT systems. With many of these devices giving little or no indication as to the semantics of their data, it is customary to manually engineer this information, which is cumbersome, costly and prone to errors. In this paper, we follow the web of things approach to introduce a smart aggregation layer device which allows for easy annotation of data with URIs tying into well-established ontologies, thus abstracting from technical addressing schemes. We present an annotation engine that can interlink actors of different sophistication levels in a light-weight messaging scheme, distributing data between operative algorithms, communication applications and operator interfaces. We present results of an ongoing field deployment of this approach in Austrian Smart Grids model regions.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772381","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356558
Victor Charpenay, Sebastian Käbisch, Darko Anicic, H. Kosch
Modeling devices has become a crucial task in the Internet of Things (IoT) and Semantic Web technologies are seen as a promising tool for this purpose. However, as it may be arduous to manipulate semantic models, industrial solutions often re-define non-standard, simplified semantics. This is the case with Project Haystack, a framework to tag devices with labels from a predefined vocabulary in the field of Building Automation. In order to make Project Haystack standard and fully semantic, we wrapped its vocabulary in an ontology. In this paper, we present the general structure of this ontology, along with a method to turn tag sets into a Semantic Web model and back. The whole results in a reusable ontology design pattern. We aligned our Haystack tagging ontology with the wide-spreaded Semantic Sensor Network upper ontology and we designed a configuration environment for Building Automation systems based on semantic data to illustrate, so as to discuss the added-value of semantics in automation.
{"title":"An ontology design pattern for IoT device tagging systems","authors":"Victor Charpenay, Sebastian Käbisch, Darko Anicic, H. Kosch","doi":"10.1109/IOT.2015.7356558","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356558","url":null,"abstract":"Modeling devices has become a crucial task in the Internet of Things (IoT) and Semantic Web technologies are seen as a promising tool for this purpose. However, as it may be arduous to manipulate semantic models, industrial solutions often re-define non-standard, simplified semantics. This is the case with Project Haystack, a framework to tag devices with labels from a predefined vocabulary in the field of Building Automation. In order to make Project Haystack standard and fully semantic, we wrapped its vocabulary in an ontology. In this paper, we present the general structure of this ontology, along with a method to turn tag sets into a Semantic Web model and back. The whole results in a reusable ontology design pattern. We aligned our Haystack tagging ontology with the wide-spreaded Semantic Sensor Network upper ontology and we designed a configuration environment for Building Automation systems based on semantic data to illustrate, so as to discuss the added-value of semantics in automation.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114856217","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356551
Hoang Minh Nguyen, S. Kim, Tuan Dinh Le, Sehyeon Heo, Janggwan Im, Daeyoung Kim
Internet of Things (IoT) has received a lot of attentions recently as a network of virtual representations of physical objects using technologies like radio-frequency identification (RFID) to identify and tracking objects' tags. While some research work has attempted to deliver IoT applications into the real-world, a scalable deployment has not yet been seen. Therefore, by utilizing Cloud technology as a well-proven way of real-world deployment for thousands of vendors, we propose our Cloud solution with optimizations for scalable RFID-based IoT applications deployment. In this paper, we first outline the challenges of deployment of RFID-based IoT applications, then our Cloud solution with load prediction and migration management optimizations is proposed. For our experiments, various results including prediction accuracy, migration delay and load balancing performance are presented.
{"title":"Optimizations for RFID-based IoT applications on the Cloud","authors":"Hoang Minh Nguyen, S. Kim, Tuan Dinh Le, Sehyeon Heo, Janggwan Im, Daeyoung Kim","doi":"10.1109/IOT.2015.7356551","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356551","url":null,"abstract":"Internet of Things (IoT) has received a lot of attentions recently as a network of virtual representations of physical objects using technologies like radio-frequency identification (RFID) to identify and tracking objects' tags. While some research work has attempted to deliver IoT applications into the real-world, a scalable deployment has not yet been seen. Therefore, by utilizing Cloud technology as a well-proven way of real-world deployment for thousands of vendors, we propose our Cloud solution with optimizations for scalable RFID-based IoT applications deployment. In this paper, we first outline the challenges of deployment of RFID-based IoT applications, then our Cloud solution with load prediction and migration management optimizations is proposed. For our experiments, various results including prediction accuracy, migration delay and load balancing performance are presented.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"386 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116009869","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356548
Matthias Kovatsch, Yassin Nasir Hassan, S. Mayer
The Internet of Things (IoT) envisions cross-domain applications that combine digital services with services provided by resource-constrained embedded devices that connect to the physical world. Such smart environments can comprise a large number of devices from various different vendors. This requires a high degree of decoupling and neither devices nor user agents can rely on a priori knowledge of service APIs. Semantic service descriptions are applicable to heterogeneous application domains due to their high level of abstraction and can enable automatic service composition. This paper shows how the RESTdesc description format and semantic reasoning can be applied to create Web-like mashups in smart environments. Our approach supports highly dynamic environments with resource-constrained IoT devices where services can become unavailable due to device mobility, limited energy, or network disruptions. The concepts are backed by a concrete system architecture whose implementation is publicly available. It is used to evaluate the semantics-based approach in a realistic IoT-related scenario. The results show that current reasoners are able to produce medium-sized IoT mashups, but struggle with state space explosion when physical states become part of the proofing process.
{"title":"Practical semantics for the Internet of Things: Physical states, device mashups, and open questions","authors":"Matthias Kovatsch, Yassin Nasir Hassan, S. Mayer","doi":"10.1109/IOT.2015.7356548","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356548","url":null,"abstract":"The Internet of Things (IoT) envisions cross-domain applications that combine digital services with services provided by resource-constrained embedded devices that connect to the physical world. Such smart environments can comprise a large number of devices from various different vendors. This requires a high degree of decoupling and neither devices nor user agents can rely on a priori knowledge of service APIs. Semantic service descriptions are applicable to heterogeneous application domains due to their high level of abstraction and can enable automatic service composition. This paper shows how the RESTdesc description format and semantic reasoning can be applied to create Web-like mashups in smart environments. Our approach supports highly dynamic environments with resource-constrained IoT devices where services can become unavailable due to device mobility, limited energy, or network disruptions. The concepts are backed by a concrete system architecture whose implementation is publicly available. It is used to evaluate the semantics-based approach in a realistic IoT-related scenario. The results show that current reasoners are able to produce medium-sized IoT mashups, but struggle with state space explosion when physical states become part of the proofing process.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115491710","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356550
Roman Kolcun, D. Boyle, J. Mccann
The number of Internet-connected sensing and control devices is growing. Some anticipate them to number in excess of 212 billion by 2020. Inherently, these devices generate continuous data streams, many of which need to be stored and processed. Traditional approaches, whereby all data are shipped to the cloud, may not continue to be effective as cloud infrastructure may not be able to handle myriads of data streams and their associated storage and processing needs. Using cloud infrastructure alone for data processing significantly increases latency, and contributes to unnecessary energy inefficiencies, including potentially unnecessary data transmission in constrained wireless networks, and on cloud computing facilities increasingly known to be significant consumers of energy. In this paper we present a distributed platform for wireless sensor networks which allows computation to be shifted from the cloud into the network. This reduces the traffic in the sensor network, intermediate networks, and cloud infrastructure. The platform is fully distributed, allowing every node in a homogeneous network to accept continuous queries from a user, find all nodes satisfying the user's query, find an optimal node (Fermat-Weber point) in the network upon which to process the query, and provide the result to the user. Our results show that the number of required messages can be decreased up to 49% and processing latency by 42% in comparison with state-of-the-art approaches, including Innet.
{"title":"Optimal processing node discovery algorithm for distributed computing in IoT","authors":"Roman Kolcun, D. Boyle, J. Mccann","doi":"10.1109/IOT.2015.7356550","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356550","url":null,"abstract":"The number of Internet-connected sensing and control devices is growing. Some anticipate them to number in excess of 212 billion by 2020. Inherently, these devices generate continuous data streams, many of which need to be stored and processed. Traditional approaches, whereby all data are shipped to the cloud, may not continue to be effective as cloud infrastructure may not be able to handle myriads of data streams and their associated storage and processing needs. Using cloud infrastructure alone for data processing significantly increases latency, and contributes to unnecessary energy inefficiencies, including potentially unnecessary data transmission in constrained wireless networks, and on cloud computing facilities increasingly known to be significant consumers of energy. In this paper we present a distributed platform for wireless sensor networks which allows computation to be shifted from the cloud into the network. This reduces the traffic in the sensor network, intermediate networks, and cloud infrastructure. The platform is fully distributed, allowing every node in a homogeneous network to accept continuous queries from a user, find all nodes satisfying the user's query, find an optimal node (Fermat-Weber point) in the network upon which to process the query, and provide the result to the user. Our results show that the number of required messages can be decreased up to 49% and processing latency by 42% in comparison with state-of-the-art approaches, including Innet.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121753227","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356544
Jiyong Han, Minkeun Ha, Daeyoung Kim
With the explosive popularity of the Internet of Things (IoT) which enables the global connectivity of surrounding objects, the importance of security and privacy is getting more recognized recently. Unlike traditional network entities, devices in IoT normally have constrained resources, which makes it hard to provide full-featured security. To provide a secure channel between Constrained Nodes (CN), Datagram Transport Layer Security (DTLS) is currently used as the de facto security protocol to secure application messages. This paper introduces the practical analysis of DTLS focusing on the Constrained-Node Networks (CNN). We have investigated security considerations for CNN and analyzed the performance of DTLS with a real implementation on an IoT connectivity platform named SNAIL (Sensor Networks for an All-IP World). For a more practical approach, we have additionally implemented the Lightweight Machine to Machine (LwM2M) protocol on SNAIL and evaluated the security functionalities' network performance. Our various evaluations have shown the impact of embedded cryptography, multi-hop topology, link-layer quality and other constraints. This research would give a comprehensive guidance to whom that wants to provide secure services efficiently to their potential users.
{"title":"Practical security analysis for the constrained node networks: Focusing on the DTLS protocol","authors":"Jiyong Han, Minkeun Ha, Daeyoung Kim","doi":"10.1109/IOT.2015.7356544","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356544","url":null,"abstract":"With the explosive popularity of the Internet of Things (IoT) which enables the global connectivity of surrounding objects, the importance of security and privacy is getting more recognized recently. Unlike traditional network entities, devices in IoT normally have constrained resources, which makes it hard to provide full-featured security. To provide a secure channel between Constrained Nodes (CN), Datagram Transport Layer Security (DTLS) is currently used as the de facto security protocol to secure application messages. This paper introduces the practical analysis of DTLS focusing on the Constrained-Node Networks (CNN). We have investigated security considerations for CNN and analyzed the performance of DTLS with a real implementation on an IoT connectivity platform named SNAIL (Sensor Networks for an All-IP World). For a more practical approach, we have additionally implemented the Lightweight Machine to Machine (LwM2M) protocol on SNAIL and evaluated the security functionalities' network performance. Our various evaluations have shown the impact of embedded cryptography, multi-hop topology, link-layer quality and other constraints. This research would give a comprehensive guidance to whom that wants to provide secure services efficiently to their potential users.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124148059","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356543
C. Klotzer, Alexander Pflaum
The aim of this paper is the identification of a superordinate research framework for describing emerging IT-infrastructures within manufacturing, logistics and Supply Chain Management. This is in line with the thoughts and concepts of the Internet of Things (IoT), as well as with accompanying developments, namely the Internet of Services (IoS), Mobile Computing (MC), Big Data Analytics (BD) and Digital Social Networks (DSN). Furthermore, Cyber-Physical Systems (CPS) and their enabling technologies as a fundamental component of all these research streams receive particular attention. Besides of the development of an eponymous research framework, relevant applications against the background of the technological trends as well as potential areas of interest for future research, both raised from the economic practice's perspective, are identified.
{"title":"Cyber-physical systems as the technical foundation for problem solutions in manufacturing, logistics and supply chain management","authors":"C. Klotzer, Alexander Pflaum","doi":"10.1109/IOT.2015.7356543","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356543","url":null,"abstract":"The aim of this paper is the identification of a superordinate research framework for describing emerging IT-infrastructures within manufacturing, logistics and Supply Chain Management. This is in line with the thoughts and concepts of the Internet of Things (IoT), as well as with accompanying developments, namely the Internet of Services (IoS), Mobile Computing (MC), Big Data Analytics (BD) and Digital Social Networks (DSN). Furthermore, Cyber-Physical Systems (CPS) and their enabling technologies as a fundamental component of all these research streams receive particular attention. Besides of the development of an eponymous research framework, relevant applications against the background of the technological trends as well as potential areas of interest for future research, both raised from the economic practice's perspective, are identified.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035004","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356561
Sehyeon Heo, Sungpil Woo, Janggwan Im, Daeyoung Kim
Recent mobile environment has various types of smart things which are opportunistically adjacent to the surrounding areas of mobile phones. However most of applications in the market are just statically bound to specific model of designated manufacturer which were chosen in development phase, so they are not interoperable with heterogeneous things even though they have similar functionalities. To optimize utilization of smart things residing in each user's personal pervasive environment, IoT mashup application is required which dynamically discovers heterogeneous things, downloads needed software module at runtime, and provides mash-up application to the user. In this paper, we designed and implemented IoT Mashup Application Platform that supports smartphone-centric discovery, identification, installation, mashup and composition of the pervasive smart things. Furthermore, by decoupling the roles of actors in IoT ecosystem utilizing functionally abstracted thing interfaces, the platform provides benefits to each actor - thing manufacturers can maximize compatibility of their products, application developers can concentrate on their own business logic, and the end-users can select which smart things would be actually used for the composition.
{"title":"IoT-MAP: IoT mashup application platform for the flexible IoT ecosystem","authors":"Sehyeon Heo, Sungpil Woo, Janggwan Im, Daeyoung Kim","doi":"10.1109/IOT.2015.7356561","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356561","url":null,"abstract":"Recent mobile environment has various types of smart things which are opportunistically adjacent to the surrounding areas of mobile phones. However most of applications in the market are just statically bound to specific model of designated manufacturer which were chosen in development phase, so they are not interoperable with heterogeneous things even though they have similar functionalities. To optimize utilization of smart things residing in each user's personal pervasive environment, IoT mashup application is required which dynamically discovers heterogeneous things, downloads needed software module at runtime, and provides mash-up application to the user. In this paper, we designed and implemented IoT Mashup Application Platform that supports smartphone-centric discovery, identification, installation, mashup and composition of the pervasive smart things. Furthermore, by decoupling the roles of actors in IoT ecosystem utilizing functionally abstracted thing interfaces, the platform provides benefits to each actor - thing manufacturers can maximize compatibility of their products, application developers can concentrate on their own business logic, and the end-users can select which smart things would be actually used for the composition.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124874687","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 : 2015-12-17DOI: 10.1109/IOT.2015.7356554
Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, F. Pérez-Cruz, F. Kawsar
We present the design, implementation and evaluation of an enabling platform for locating and querying physical objects using existing WiFi network. We propose the use of WiFi management probes as a data transport mechanism for physical objects that are tagged with WiFi-enabled accelerometers and are capable of determining their state-of-use based on motion signatures. A local WiFi gateway captures these probes emitted from the connected objects and stores them locally after annotating them with a coarse grained location estimate using a proximity ranging algorithm. External applications can query the aggregated views of state-of-use and location traces of connected objects through a cloud-based query server. We present the technical architecture and algorithms of the proposed platform together with a prototype personal object analytics application and assess the feasibility of our different design decisions. This work makes important contributions by demonstrating that it is possible to build a pure network-based IoT analytics platform with only location and motion signatures of connected objects, and that the WiFi network is the key enabler for the future IoT applications.
{"title":"Sensing WiFi network for personal IoT analytics","authors":"Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, F. Pérez-Cruz, F. Kawsar","doi":"10.1109/IOT.2015.7356554","DOIUrl":"https://doi.org/10.1109/IOT.2015.7356554","url":null,"abstract":"We present the design, implementation and evaluation of an enabling platform for locating and querying physical objects using existing WiFi network. We propose the use of WiFi management probes as a data transport mechanism for physical objects that are tagged with WiFi-enabled accelerometers and are capable of determining their state-of-use based on motion signatures. A local WiFi gateway captures these probes emitted from the connected objects and stores them locally after annotating them with a coarse grained location estimate using a proximity ranging algorithm. External applications can query the aggregated views of state-of-use and location traces of connected objects through a cloud-based query server. We present the technical architecture and algorithms of the proposed platform together with a prototype personal object analytics application and assess the feasibility of our different design decisions. This work makes important contributions by demonstrating that it is possible to build a pure network-based IoT analytics platform with only location and motion signatures of connected objects, and that the WiFi network is the key enabler for the future IoT applications.","PeriodicalId":251982,"journal":{"name":"2015 5th International Conference on the Internet of Things (IOT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133505802","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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