... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献
Pub Date : 2021-01-01DOI: 10.5220/0010394401310140
J. Gresl, Scott Fazackerley, R. Lawrence
Precision agriculture is enabled by using real-time data to manage environmental variations, measure performance to improve upon previous seasons, and perform predictive analysis to make better growing decisions, resulting in higher production yields with lower production costs. Although beneficial, collecting and analyzing the environmental data is an expensive and complicated endeavor. Numerous existing wireless sensor network (WSN) solutions rely on protocols such as 802.15.4 b (LR-WPANs) and 802.11x (WLAN) but provide limited transmission range, complex communication stacks and data management, and high power consumption. Additionally, many existing services introduce challenges with data ownership and residency. These factors present a high barrier to entry for growers. The resources required to implement and maintain sensor networks are too high to justify the investment. This work presents an approach that uses inexpensive and effective hardware that is easily setup and maintained. Costs to implement the network are reduced through the use of open-source hardware. Transmission ranges and power consumption are improved by using long range (LoRa) radio transceivers. By addressing these limitations, growers will be better enabled to adopt new technologies, ultimately improving sustainability, viability, quality and profit margins in agriculture.
精准农业通过使用实时数据来管理环境变化，衡量绩效以改进前一季，并执行预测分析以做出更好的种植决策，从而以更低的生产成本实现更高的产量。虽然有益，但收集和分析环境数据是一项昂贵而复杂的工作。许多现有的无线传感器网络(WSN)解决方案依赖于802.15.4 b (lr - wpan)和802.11x (WLAN)等协议，但传输范围有限，通信堆栈和数据管理复杂，功耗高。此外，许多现有的服务引入了数据所有权和驻留方面的挑战。这些因素对种植者构成了很高的进入门槛。实施和维护传感器网络所需的资源太高，无法证明投资是合理的。这项工作提出了一种方法，使用廉价和有效的硬件，易于设置和维护。通过使用开源硬件，降低了实现网络的成本。通过使用远程(LoRa)无线电收发器，提高了传输距离和功耗。通过解决这些限制，种植者将能够更好地采用新技术，最终提高农业的可持续性、生存能力、质量和利润率。
{"title":"Practical Precision Agriculture with LoRa based Wireless Sensor Networks","authors":"J. Gresl, Scott Fazackerley, R. Lawrence","doi":"10.5220/0010394401310140","DOIUrl":"https://doi.org/10.5220/0010394401310140","url":null,"abstract":"Precision agriculture is enabled by using real-time data to manage environmental variations, measure performance to improve upon previous seasons, and perform predictive analysis to make better growing decisions, resulting in higher production yields with lower production costs. Although beneficial, collecting and analyzing the environmental data is an expensive and complicated endeavor. Numerous existing wireless sensor network (WSN) solutions rely on protocols such as 802.15.4 b (LR-WPANs) and 802.11x (WLAN) but provide limited transmission range, complex communication stacks and data management, and high power consumption. Additionally, many existing services introduce challenges with data ownership and residency. These factors present a high barrier to entry for growers. The resources required to implement and maintain sensor networks are too high to justify the investment. This work presents an approach that uses inexpensive and effective hardware that is easily setup and maintained. Costs to implement the network are reduced through the use of open-source hardware. Transmission ranges and power consumption are improved by using long range (LoRa) radio transceivers. By addressing these limitations, growers will be better enabled to adopt new technologies, ultimately improving sustainability, viability, quality and profit margins in agriculture.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84169618","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 : 2021-01-01DOI: 10.5220/0010319001000106
M. Manso, M. Bezzeghoud
Seismic networks help understanding the phenomena related with seismic events. These networks are employing low-cost accelerometers in order to achieve high-density deployments enabling accurate characterisation (high resolution) of strong earthquake motion and early warning capabilities. In order to assess the applicability of low-cost accelerometers in seismology, it is essential to evaluate their noise characteristics and identify their detectability thresholds. In this paper, a method is proposed that provides an indication of sensor noise, being demonstrated on different sensors. The method is designed to adapt to a sensor’s characteristics while on-site and in-operation, thus removing potentially related logistical and maintenance bottlenecks.
{"title":"On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers","authors":"M. Manso, M. Bezzeghoud","doi":"10.5220/0010319001000106","DOIUrl":"https://doi.org/10.5220/0010319001000106","url":null,"abstract":"Seismic networks help understanding the phenomena related with seismic events. These networks are employing low-cost accelerometers in order to achieve high-density deployments enabling accurate characterisation (high resolution) of strong earthquake motion and early warning capabilities. In order to assess the applicability of low-cost accelerometers in seismology, it is essential to evaluate their noise characteristics and identify their detectability thresholds. In this paper, a method is proposed that provides an indication of sensor noise, being demonstrated on different sensors. The method is designed to adapt to a sensor’s characteristics while on-site and in-operation, thus removing potentially related logistical and maintenance bottlenecks.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83767721","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 : 2021-01-01DOI: 10.5220/0010391501200125
Adam Górski, M. Ogorzałek
In this work we present a novel genetic programming based iterative improvement approach for hardware/software cosynthesis of distributed embedded systems. The approach starts from a ready solution which is an embryo of a genotype. Other nodes in the genotypes are chromosomes. The chromosomes contain system refinement options. The final solution is obtained after evolution process and mapping genotype to phenotype. Unlike existing genetic programming iterative improvement methodologies our algorithm starts from randomly generated system. Therefore the search space is not constrained by any initial condition. It is also easier for the algorithm to escape local minima of optimizing parameters.
{"title":"Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems","authors":"Adam Górski, M. Ogorzałek","doi":"10.5220/0010391501200125","DOIUrl":"https://doi.org/10.5220/0010391501200125","url":null,"abstract":"In this work we present a novel genetic programming based iterative improvement approach for hardware/software cosynthesis of distributed embedded systems. The approach starts from a ready solution which is an embryo of a genotype. Other nodes in the genotypes are chromosomes. The chromosomes contain system refinement options. The final solution is obtained after evolution process and mapping genotype to phenotype. Unlike existing genetic programming iterative improvement methodologies our algorithm starts from randomly generated system. Therefore the search space is not constrained by any initial condition. It is also easier for the algorithm to escape local minima of optimizing parameters.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87118593","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 : 2021-01-01DOI: 10.5220/0010246500130024
Simon Keller, Rainer Mueller
Continuous range queries are a common means to handle mobile clients in high-density areas. Most existing approaches focus on settings in which the range queries for location-based services are mostly static whereas the mobile clients in the ranges move. We focus on a category called Dynamic Real-Time Range Queries (DRRQ) assuming that both, clients requested by the query and the inquirers, are mobile. In consequence, the query parameters results continuously change. This leads to two requirements: the ability to deal with an arbitrary high number of mobile nodes (scalability) and the real-time delivery of range query results. In this paper we present the highly decentralized solution Adaptive Quad Streaming (AQS) for the requirements of DRRQs. AQS approximates the query results in favor of a controlled real-time delivery and guaranteed scalability. While prior works commonly optimizes data structures on servers, we use AQS to focus on a highly distributed cell structure without data structures automatically adapting to changing client distributions. Instead of the commonly used request-response approach, we apply a lightweight streaming method in which no bidirectional communication and no storage or maintenance of queries are required at all.
{"title":"Real-Time Range Query Approximation by Means of Adaptive Quad Streaming","authors":"Simon Keller, Rainer Mueller","doi":"10.5220/0010246500130024","DOIUrl":"https://doi.org/10.5220/0010246500130024","url":null,"abstract":"Continuous range queries are a common means to handle mobile clients in high-density areas. Most existing approaches focus on settings in which the range queries for location-based services are mostly static whereas the mobile clients in the ranges move. We focus on a category called Dynamic Real-Time Range Queries (DRRQ) assuming that both, clients requested by the query and the inquirers, are mobile. In consequence, the query parameters results continuously change. This leads to two requirements: the ability to deal with an arbitrary high number of mobile nodes (scalability) and the real-time delivery of range query results. In this paper we present the highly decentralized solution Adaptive Quad Streaming (AQS) for the requirements of DRRQs. AQS approximates the query results in favor of a controlled real-time delivery and guaranteed scalability. While prior works commonly optimizes data structures on servers, we use AQS to focus on a highly distributed cell structure without data structures automatically adapting to changing client distributions. Instead of the commonly used request-response approach, we apply a lightweight streaming method in which no bidirectional communication and no storage or maintenance of queries are required at all.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72546760","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 : 2021-01-01DOI: 10.5220/0010374701430150
M. Cagnetti, M. Leccisi, F. Leccese
This paper analyses the use of a WSN for agricultural scenario, referencing to the modality of communication between the network nodes, and proposes a modified version of Multipath Ring Routing (MPRR) to improve performances and robustness of the network on the long period. Through simulations with Castalia, some limits of the standard MPRR have been highlighted, and through the possibility to modify the algorithm itself, improvements have been made that make the modified MPRR suitable for our scenario.
{"title":"A Modified MPRR Protocol for WSN in Agricultural Scenario","authors":"M. Cagnetti, M. Leccisi, F. Leccese","doi":"10.5220/0010374701430150","DOIUrl":"https://doi.org/10.5220/0010374701430150","url":null,"abstract":"This paper analyses the use of a WSN for agricultural scenario, referencing to the modality of communication between the network nodes, and proposes a modified version of Multipath Ring Routing (MPRR) to improve performances and robustness of the network on the long period. Through simulations with Castalia, some limits of the standard MPRR have been highlighted, and through the possibility to modify the algorithm itself, improvements have been made that make the modified MPRR suitable for our scenario.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81510953","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 : 2021-01-01DOI: 10.5220/0010236400610068
R. Fromm, L. Schott, F. Derbel
For power-limited wireless sensor networks, energy efficiency is a critical concern. Receiving packages is proven to be one of the most power-consuming tasks in a WSN. To address this problem the asynchronous communication is based on wake-up receivers. The proposed receiver circuit can detect carrier signals inside the 868 MHz band. Reliable signal detection at 10 m was achieved with a total power consumption of 4.2 μW. Two use cases of this low-power receiver were introduced. First the wake-up receiver and second as a collision avoidance circuit. Because of its low power consumption savings of factor 7000 can be estimated compared to integrated solutions of commercially available radio transceivers.
{"title":"An Efficient Low-power Wake-up Receiver Architecture for Power Saving for Transmitter and Receiver Communications","authors":"R. Fromm, L. Schott, F. Derbel","doi":"10.5220/0010236400610068","DOIUrl":"https://doi.org/10.5220/0010236400610068","url":null,"abstract":"For power-limited wireless sensor networks, energy efficiency is a critical concern. Receiving packages is proven to be one of the most power-consuming tasks in a WSN. To address this problem the asynchronous communication is based on wake-up receivers. The proposed receiver circuit can detect carrier signals inside the 868 MHz band. Reliable signal detection at 10 m was achieved with a total power consumption of 4.2 μW. Two use cases of this low-power receiver were introduced. First the wake-up receiver and second as a collision avoidance circuit. Because of its low power consumption savings of factor 7000 can be estimated compared to integrated solutions of commercially available radio transceivers.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77315556","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 : 2021-01-01DOI: 10.5220/0010247900780085
P. Stapf, M. Götten, A. Ahrens, S. Lochmann
To increase the multiplexing capability of code-division m ultiplexing (CDM) applied in optical sensor networks, a system based code evaluation is required. This cont ribution analyses evaluation criteria for sequences applied in CDM systems. A comparison of an optical sensor app lication and a single user data transmission system is presented. While a detection signal-to-noise rat io and the bit error rate are used to evaluate data transmission systems, the proposed optical sensor applica tion uses a modified signal-to-multiuser-interference ratio (mSMUI). The main difference exists in the handling of interference. In contrary to data transmission, the mSMUI requires a separation of positive and negative int erferences. Both applications are simulated for different binary sequences. While the Legendre sequence wi th a length of 503 chips achieves the over all best results for the optical sensor application, the single user data transmission simulation shows no significant sequence influence.
{"title":"System based Code Evaluation Criteria for CDM Applications in Sensor and Data Transmission Systems","authors":"P. Stapf, M. Götten, A. Ahrens, S. Lochmann","doi":"10.5220/0010247900780085","DOIUrl":"https://doi.org/10.5220/0010247900780085","url":null,"abstract":"To increase the multiplexing capability of code-division m ultiplexing (CDM) applied in optical sensor networks, a system based code evaluation is required. This cont ribution analyses evaluation criteria for sequences applied in CDM systems. A comparison of an optical sensor app lication and a single user data transmission system is presented. While a detection signal-to-noise rat io and the bit error rate are used to evaluate data transmission systems, the proposed optical sensor applica tion uses a modified signal-to-multiuser-interference ratio (mSMUI). The main difference exists in the handling of interference. In contrary to data transmission, the mSMUI requires a separation of positive and negative int erferences. Both applications are simulated for different binary sequences. While the Legendre sequence wi th a length of 503 chips achieves the over all best results for the optical sensor application, the single user data transmission simulation shows no significant sequence influence.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77720056","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 : 2021-01-01DOI: 10.5220/0010269100370048
Vincent Xeno Rahn, Lin Zhou, Eric Klieme, B. Arnrich
Human Activity Recognition (HAR) of everyday activities using smartphones has been intensively researched over the past years. Despite the high detection performance, smartphones can not continuously provide reliable information about the currently conducted activity as their placement at the subject’s body is uncertain. In this study, a system is developed that enables real-time collection of data from various Bluetooth inertial measurement units (IMUs) in addition to the smartphone. The contribution of this work is an extensive overview of related work in this field and the identification of unobtrusive, minimal combinations of IMUs with the smartphone that achieve high recognition performance. Eighteen young subjects with unrestricted mobility were recorded conducting seven daily-life activities with a smartphone in the pocket and five IMUs at different body positions. With a Convolutional Neural Network (CNN) for activity recognition, activity classification accuracy increased by up to 23% with one IMU additional to the smartphone. An overall prediction rate of 97% was reached with a smartphone in the pocket and an IMU at the ankle. This study demonstrated the potential that an additional IMU can improve the accuracy of smartphone-based HAR on daily-life activities.
{"title":"Optimal Sensor Placement for Human Activity Recognition with a Minimal Smartphone-IMU Setup","authors":"Vincent Xeno Rahn, Lin Zhou, Eric Klieme, B. Arnrich","doi":"10.5220/0010269100370048","DOIUrl":"https://doi.org/10.5220/0010269100370048","url":null,"abstract":"Human Activity Recognition (HAR) of everyday activities using smartphones has been intensively researched over the past years. Despite the high detection performance, smartphones can not continuously provide reliable information about the currently conducted activity as their placement at the subject’s body is uncertain. In this study, a system is developed that enables real-time collection of data from various Bluetooth inertial measurement units (IMUs) in addition to the smartphone. The contribution of this work is an extensive overview of related work in this field and the identification of unobtrusive, minimal combinations of IMUs with the smartphone that achieve high recognition performance. Eighteen young subjects with unrestricted mobility were recorded conducting seven daily-life activities with a smartphone in the pocket and five IMUs at different body positions. With a Convolutional Neural Network (CNN) for activity recognition, activity classification accuracy increased by up to 23% with one IMU additional to the smartphone. An overall prediction rate of 97% was reached with a smartphone in the pocket and an IMU at the ankle. This study demonstrated the potential that an additional IMU can improve the accuracy of smartphone-based HAR on daily-life activities.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84695013","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 : 2021-01-01DOI: 10.5220/0010415401510158
L. Maiolo, D. Polese
The demand for a continuous increment of crop production reducing at the same time the impact on the used resources is a challenge that can be solved only exploiting the full potential of sensors technology applied in precise agriculture. In this review, we present the most recent advances in remote sensing technologies to be deployed in field and in greenhouses to monitor multiple key parameters such as air temperature, solar radiation, vegetative index, plant microclimate, soil feature, etc.
{"title":"Advances in Sensing Technologies for Smart Monitoring in Precise Agriculture","authors":"L. Maiolo, D. Polese","doi":"10.5220/0010415401510158","DOIUrl":"https://doi.org/10.5220/0010415401510158","url":null,"abstract":"The demand for a continuous increment of crop production reducing at the same time the impact on the used resources is a challenge that can be solved only exploiting the full potential of sensors technology applied in precise agriculture. In this review, we present the most recent advances in remote sensing technologies to be deployed in field and in greenhouses to monitor multiple key parameters such as air temperature, solar radiation, vegetative index, plant microclimate, soil feature, etc.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87855841","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 : 2021-01-01DOI: 10.5220/0010346201130119
Franklin A. M. Venceslau, R. Gomes, I. Fonseca
This paper descbribes a system for monitoring Smart Campus applications based on IoT protocols. The system have as main goals to support the deployment of new sensors, actuators, and gateways in the campus, based on a pre-deployed network infrasctructure, and to monitor the performance of applications along the time. The network architecture considered in this paper provides reliability through the use of diversity techniques at physical and data link layers, based on the IEEE 802.15.4g SUN standard, and it performs the persistence of information based on time series database. In order to support the network infrastructure evolution and the incorporation of new devices and applications, information about the currently running applications and about the quality of the data links and the wireless network’s overload level can be collected by the proposed system. In this position paper, the architecture of the system is described in details, and initial results are discussed.
{"title":"System for Supporting Implementation and Monitoring of Smart Campus Applications based on IoT Protocols","authors":"Franklin A. M. Venceslau, R. Gomes, I. Fonseca","doi":"10.5220/0010346201130119","DOIUrl":"https://doi.org/10.5220/0010346201130119","url":null,"abstract":"This paper descbribes a system for monitoring Smart Campus applications based on IoT protocols. The system have as main goals to support the deployment of new sensors, actuators, and gateways in the campus, based on a pre-deployed network infrasctructure, and to monitor the performance of applications along the time. The network architecture considered in this paper provides reliability through the use of diversity techniques at physical and data link layers, based on the IEEE 802.15.4g SUN standard, and it performs the persistence of information based on time series database. In order to support the network infrastructure evolution and the incorporation of new devices and applications, information about the currently running applications and about the quality of the data links and the wireless network’s overload level can be collected by the proposed system. In this position paper, the architecture of the system is described in details, and initial results are discussed.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90036745","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}
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks
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