Pub Date : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827667
Phi-Le Nguyen, Duc-Trong Nguyen, Khanh-Van Nguyen
Because of its simplicity and scalability, geographic routing is a popular approach in wireless sensor networks, which can achieve a near-optimal routing path in the networks without of holes. With the occurrence of holes, however, geographic routing faces the problems of hole diffusion and routing path enlargement. Several recent proposals attempt to fix these issues by deploying a special, forbidding area around the hole, which helps to improve the congestion on the hole boundary but still causes significant load imbalancing due to static detour routes bypassing this fixed forbidding area. Also, a significant enlargement on routing path is still possible due to the possibly significant difference between this forbidding area and the hole. Another recent approach can achieve a low route stretch (constant bounded) but still, the load imbalancing due to the holes is a concern. In this paper, we introduce a novel approach which is the first to target and solve both these two problems of hole diffusion and path enlargement. Our theoretical analysis proves the constant stretch property and our simulation experiments show that our scheme strongly outperforms the existing schemes in several performance factors, including route stretch, efficient use of energy and load balancing.
{"title":"Load balanced routing with constant stretch for wireless sensor network with holes","authors":"Phi-Le Nguyen, Duc-Trong Nguyen, Khanh-Van Nguyen","doi":"10.1109/ISSNIP.2014.6827667","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827667","url":null,"abstract":"Because of its simplicity and scalability, geographic routing is a popular approach in wireless sensor networks, which can achieve a near-optimal routing path in the networks without of holes. With the occurrence of holes, however, geographic routing faces the problems of hole diffusion and routing path enlargement. Several recent proposals attempt to fix these issues by deploying a special, forbidding area around the hole, which helps to improve the congestion on the hole boundary but still causes significant load imbalancing due to static detour routes bypassing this fixed forbidding area. Also, a significant enlargement on routing path is still possible due to the possibly significant difference between this forbidding area and the hole. Another recent approach can achieve a low route stretch (constant bounded) but still, the load imbalancing due to the holes is a concern. In this paper, we introduce a novel approach which is the first to target and solve both these two problems of hole diffusion and path enlargement. Our theoretical analysis proves the constant stretch property and our simulation experiments show that our scheme strongly outperforms the existing schemes in several performance factors, including route stretch, efficient use of energy and load balancing.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115526587","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827697
Bo Li, C. Ho, Chengkuo Lee
This paper reports a novel whispering gallery mode photonic dual-disk resonator (DDR) with enhanced quality factors. The second disk with the same dimension as the primary disk enhances the coupling efficiency of the bus waveguide and the disk resonators. The compact disk design brings the possibilities of smaller device dimension and large integration of optical circuits on a chip. The measured result shows 25 nm of free spectrum range (FSR) and the data has a good agreement with three dimensional (3-D) finite difference time domain (FDTD) simulation results. Chemical index sensing is demonstrated with a sensing opening hole filled with droplet of different liquid cladding.
{"title":"Development of silicon photonics dual disks resonators as chemical sensors","authors":"Bo Li, C. Ho, Chengkuo Lee","doi":"10.1109/ISSNIP.2014.6827697","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827697","url":null,"abstract":"This paper reports a novel whispering gallery mode photonic dual-disk resonator (DDR) with enhanced quality factors. The second disk with the same dimension as the primary disk enhances the coupling efficiency of the bus waveguide and the disk resonators. The compact disk design brings the possibilities of smaller device dimension and large integration of optical circuits on a chip. The measured result shows 25 nm of free spectrum range (FSR) and the data has a good agreement with three dimensional (3-D) finite difference time domain (FDTD) simulation results. Chemical index sensing is demonstrated with a sensing opening hole filled with droplet of different liquid cladding.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113978406","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827659
P. Kristalina, Wirawan, G. Hendrantoro
The capability of nodes in self-configuration becomes one of the challenges in wireless sensor networks localization scheme. We propose DOLLY (Distributed Node Localization System), a new platform of distributed localization scheme which is implemented in each node to estimate its position with the assistance of reference nodes. We evaluate the comprehensive performance of the proposed scheme in various observation areas, including distance estimation, position calculation and packet delivery. The evaluation result of the proposed scheme is compared with the measurement result obtained by Imote2. The result shows that in the three environmental conditions, i.e. outdoor LOS, indoor LOS and NLOS, the platform provides a good performance for distance estimation processing. However, the execution time of distributed localization algorithm in our proposed platform is rather high. Overall the proposed scheme has sufficient reliability in distributed processing of node positioning in wireless sensor networks.
{"title":"DOLLY: An experimental evaluation of distributed node positioning framework in wireless sensor networks","authors":"P. Kristalina, Wirawan, G. Hendrantoro","doi":"10.1109/ISSNIP.2014.6827659","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827659","url":null,"abstract":"The capability of nodes in self-configuration becomes one of the challenges in wireless sensor networks localization scheme. We propose DOLLY (Distributed Node Localization System), a new platform of distributed localization scheme which is implemented in each node to estimate its position with the assistance of reference nodes. We evaluate the comprehensive performance of the proposed scheme in various observation areas, including distance estimation, position calculation and packet delivery. The evaluation result of the proposed scheme is compared with the measurement result obtained by Imote2. The result shows that in the three environmental conditions, i.e. outdoor LOS, indoor LOS and NLOS, the platform provides a good performance for distance estimation processing. However, the execution time of distributed localization algorithm in our proposed platform is rather high. Overall the proposed scheme has sufficient reliability in distributed processing of node positioning in wireless sensor networks.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124166343","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827650
Arak Sae Yuan, Hsiang-Ting Fang, Quincy Wu
Wireless Sensor Networks (WSNs) have been widely deployed in many fields and commonly adopted in many applications. There are several routing protocols for WSNs, such as Ad hoc On-Demand Distance Vector Routing (AODV) and Sensor Protocols for Information via Negotiation (SPIN). However, one major problem of these routing protocols is that they cannot provide a global view for network topologies, as they run in a distributed way. Moreover, for a distributed routing algorithm, troubleshooting always takes lots of time because the administrators must collect the routing information from individual routing nodes. OpenFlow is an emerging technology which makes network elements (such as routers or switches) programmable via a standardized interface. With OpenFlow, novel routing algorithms can be quickly deployed. In this paper, we proposed a new routing approach that integrates OpenFlow with link-state routing in WSNs. The approach allows administrators to maintain a global view on each routing path, as well as simplifies the procedure of network provisioning and troubleshooting.
{"title":"OpenFlow based hybrid routing in Wireless Sensor Networks","authors":"Arak Sae Yuan, Hsiang-Ting Fang, Quincy Wu","doi":"10.1109/ISSNIP.2014.6827650","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827650","url":null,"abstract":"Wireless Sensor Networks (WSNs) have been widely deployed in many fields and commonly adopted in many applications. There are several routing protocols for WSNs, such as Ad hoc On-Demand Distance Vector Routing (AODV) and Sensor Protocols for Information via Negotiation (SPIN). However, one major problem of these routing protocols is that they cannot provide a global view for network topologies, as they run in a distributed way. Moreover, for a distributed routing algorithm, troubleshooting always takes lots of time because the administrators must collect the routing information from individual routing nodes. OpenFlow is an emerging technology which makes network elements (such as routers or switches) programmable via a standardized interface. With OpenFlow, novel routing algorithms can be quickly deployed. In this paper, we proposed a new routing approach that integrates OpenFlow with link-state routing in WSNs. The approach allows administrators to maintain a global view on each routing path, as well as simplifies the procedure of network provisioning and troubleshooting.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127729088","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827668
Ladji Adiaviakoye, P. Plainchault, Marc Bolircene, J. Auberlet
In everyday life, we can see amazing choreographies of movements of crowds of pedestrians. Pedestrians run into and avoid each other but do not seem to consciously cooperate. In this paper, we track a crowd of pedestrians in a large covered and cluttered area to understand their social behavior. Additionally, we try to analyze the characteristics of crowds of pedestrians such as traffic density, velocity, and trajectory. We introduce a stable feature extraction method based on accumulated distribution of successive laser frames. To isolate pedestrians, we propose a non-parametric method exploiting the Parzen windowing technique. We apply the new method of Rao-Blackwellized Monte Carlo data association to track a highly variable number of pedestrians. The algorithm is quantitatively evaluated through a social behavior experiment taking place in the lobby of a school. During this experiment, nearly 300 students are tracked.
{"title":"Tracking of multiple people in crowds using laser range scanners","authors":"Ladji Adiaviakoye, P. Plainchault, Marc Bolircene, J. Auberlet","doi":"10.1109/ISSNIP.2014.6827668","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827668","url":null,"abstract":"In everyday life, we can see amazing choreographies of movements of crowds of pedestrians. Pedestrians run into and avoid each other but do not seem to consciously cooperate. In this paper, we track a crowd of pedestrians in a large covered and cluttered area to understand their social behavior. Additionally, we try to analyze the characteristics of crowds of pedestrians such as traffic density, velocity, and trajectory. We introduce a stable feature extraction method based on accumulated distribution of successive laser frames. To isolate pedestrians, we propose a non-parametric method exploiting the Parzen windowing technique. We apply the new method of Rao-Blackwellized Monte Carlo data association to track a highly variable number of pedestrians. The algorithm is quantitatively evaluated through a social behavior experiment taking place in the lobby of a school. During this experiment, nearly 300 students are tracked.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951906","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827703
Hai-Jun Rong, Rong-Jing Bao, Guangshe Zhao
In this paper, a Model Reference Adaptive Neural Control (MRANC) that uses both off-line and online learning strategies and Single Hidden Layer Feedforward Networks (SLFNs) is proposed for a class of nonlinear systems. In the proposed scheme, one SLFN is used as the identifier to identify the unknown nonlinear system and then the other SLFN is used as the controller to construct the control law based on the information of the identified model. The neural-network parameters of the NNI and NNC are adapted off-line. The off-line trained neural controller ensures the stability and provides the necessary tracking performance. If there is a change in the system dynamics or characteristics, the trained neural identifier and controller are also adapted online for providing the appropriate control input to maintain the system's satisfactory tracking performance. Different from the existing technology where the Back-Propagation (BP) is employed to train the two SLFNs, the identifier is trained using a fast neural algorithm developed recently, namely Extreme Learning Machine (ELM) while the controller is trained using the Dynamic BP method. Simulation results show that the proposed approach has faster learning speed and higher tracking performance than the existing method.
{"title":"Model Reference Adaptive Neural Control for nonlinear systems based on Back-Propagation and Extreme Learning Machine","authors":"Hai-Jun Rong, Rong-Jing Bao, Guangshe Zhao","doi":"10.1109/ISSNIP.2014.6827703","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827703","url":null,"abstract":"In this paper, a Model Reference Adaptive Neural Control (MRANC) that uses both off-line and online learning strategies and Single Hidden Layer Feedforward Networks (SLFNs) is proposed for a class of nonlinear systems. In the proposed scheme, one SLFN is used as the identifier to identify the unknown nonlinear system and then the other SLFN is used as the controller to construct the control law based on the information of the identified model. The neural-network parameters of the NNI and NNC are adapted off-line. The off-line trained neural controller ensures the stability and provides the necessary tracking performance. If there is a change in the system dynamics or characteristics, the trained neural identifier and controller are also adapted online for providing the appropriate control input to maintain the system's satisfactory tracking performance. Different from the existing technology where the Back-Propagation (BP) is employed to train the two SLFNs, the identifier is trained using a fast neural algorithm developed recently, namely Extreme Learning Machine (ELM) while the controller is trained using the Dynamic BP method. Simulation results show that the proposed approach has faster learning speed and higher tracking performance than the existing method.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133882667","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827625
M. Talampas, K. Low
In this paper, geometry-based algorithms for device-free localization (DFL) of a single target are proposed. The algorithms exploit the change in attenuation caused by the device-free target on radio links passing through the deployment area. By solving for the intersections of some of the attenuated links and taking the centroid of the intersection points, an estimate of the target's location is obtained. To increase the accuracy, only a subset of the top attenuated links are considered in the location estimation. Furthermore, a moving average scheme is utilized to reduce errors due to the variation in received-signal strength (RSS) caused by environmental factors. This removes the need for extensive calibration of baseline RSS as used in other DFL schemes, and is a more robust approach compared to using the RSS measurement from the previous sampling period as the baseline RSS. Experimental results obtained using the proposed algorithms with a Kalman filter are promising, with 2.09 ft tracking RMSE.
{"title":"Geometry-based algorithms for device-free localization with wireless sensor networks","authors":"M. Talampas, K. Low","doi":"10.1109/ISSNIP.2014.6827625","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827625","url":null,"abstract":"In this paper, geometry-based algorithms for device-free localization (DFL) of a single target are proposed. The algorithms exploit the change in attenuation caused by the device-free target on radio links passing through the deployment area. By solving for the intersections of some of the attenuated links and taking the centroid of the intersection points, an estimate of the target's location is obtained. To increase the accuracy, only a subset of the top attenuated links are considered in the location estimation. Furthermore, a moving average scheme is utilized to reduce errors due to the variation in received-signal strength (RSS) caused by environmental factors. This removes the need for extensive calibration of baseline RSS as used in other DFL schemes, and is a more robust approach compared to using the RSS measurement from the previous sampling period as the baseline RSS. Experimental results obtained using the proposed algorithms with a Kalman filter are promising, with 2.09 ft tracking RMSE.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116939368","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827623
Wann-Yun Shieh, Diana Guu
The process of walking or running is called the "gait". In clinical research, gait detection can be used to investigate the features of normal or abnormal gait for demonstrating a change from treatment or from disease progression. In the past, many optical-based gait detection approaches have been proposed. In these approaches, we have to paste many reflective markers on the subject's limbs and use multiple cameras from different directions to take the images of walking. They can provide high accuracy measurements for gait detection, but they also need very expensive optical equipment. Also, the experiments are restricted to the laboratory environment, which means that the collection of gait data will be limited in a short distance or a short time interval. In this paper we will propose a portable design, which uses dual accelerometers pasted on a subject's left and right waist to do the gait detection at any time, any place. Particularly, we will apply the wireless communication to develop a gateway, as well as its Apps on the smart phone, to collect sensing data. The data collected from the sensors can be uploaded to the remote cloud for many homecare telemedicine applications.
{"title":"Homecare gait parameter collection","authors":"Wann-Yun Shieh, Diana Guu","doi":"10.1109/ISSNIP.2014.6827623","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827623","url":null,"abstract":"The process of walking or running is called the \"gait\". In clinical research, gait detection can be used to investigate the features of normal or abnormal gait for demonstrating a change from treatment or from disease progression. In the past, many optical-based gait detection approaches have been proposed. In these approaches, we have to paste many reflective markers on the subject's limbs and use multiple cameras from different directions to take the images of walking. They can provide high accuracy measurements for gait detection, but they also need very expensive optical equipment. Also, the experiments are restricted to the laboratory environment, which means that the collection of gait data will be limited in a short distance or a short time interval. In this paper we will propose a portable design, which uses dual accelerometers pasted on a subject's left and right waist to do the gait detection at any time, any place. Particularly, we will apply the wireless communication to develop a gateway, as well as its Apps on the smart phone, to collect sensing data. The data collected from the sensors can be uploaded to the remote cloud for many homecare telemedicine applications.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115402026","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827615
F. Hsiao, Zhen-Hong Yang
We demonstrate a one-dimensional photonic crystal nano beam. The structure is formed by silicon waveguide. A Si3N4 layer is deposited above the waveguide. The thermal stress between Si/Si3N4 induces the deformation of beam and affects the transmission peak of slow light mode. The thermal stress can be detected by measuring the shift of peaks in transmission spectrum.
{"title":"Stress sensing based on one dimensional photonic crystal nano beam","authors":"F. Hsiao, Zhen-Hong Yang","doi":"10.1109/ISSNIP.2014.6827615","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827615","url":null,"abstract":"We demonstrate a one-dimensional photonic crystal nano beam. The structure is formed by silicon waveguide. A Si<sub>3</sub>N<sub>4</sub> layer is deposited above the waveguide. The thermal stress between Si/Si<sub>3</sub>N<sub>4</sub> induces the deformation of beam and affects the transmission peak of slow light mode. The thermal stress can be detected by measuring the shift of peaks in transmission spectrum.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635836","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827663
Rie Tanaka, Mischa Schmidt, C. Åhlund, Yuri Takamatsu
The SmartCity concept is becoming widely accepted and describes the usage of ICT for increased quality of life and also for a sustainable usage of natural resources. This paper describes a system architecture for monitoring of electrical energy consumption, and visualization of usage patterns to raise users' awareness of their energy usage which we field trialled over several months. The information collected of each household includes kWh, emission of carbon dioxide emissions and it also relates a household's consumption to other households attending the trial. Our results indicate that a fraction of the participants was interested in a detailed comparison with others whereas other participants had their main interest in not performing worse than the average household. Further, a large fraction had a demand for knowing the total energy usage of their household through an easily accessible visualization. These results indicate that there is support to embed sensing and feedback services to daily life for involving the residents of a SmartCity more.
{"title":"An energy awareness study in a Smart City lessons learned","authors":"Rie Tanaka, Mischa Schmidt, C. Åhlund, Yuri Takamatsu","doi":"10.1109/ISSNIP.2014.6827663","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827663","url":null,"abstract":"The SmartCity concept is becoming widely accepted and describes the usage of ICT for increased quality of life and also for a sustainable usage of natural resources. This paper describes a system architecture for monitoring of electrical energy consumption, and visualization of usage patterns to raise users' awareness of their energy usage which we field trialled over several months. The information collected of each household includes kWh, emission of carbon dioxide emissions and it also relates a household's consumption to other households attending the trial. Our results indicate that a fraction of the participants was interested in a detailed comparison with others whereas other participants had their main interest in not performing worse than the average household. Further, a large fraction had a demand for knowing the total energy usage of their household through an easily accessible visualization. These results indicate that there is support to embed sensing and feedback services to daily life for involving the residents of a SmartCity more.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126877402","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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