... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献
Pub Date : 2022-01-01DOI: 10.5220/0011013100003118
Dhouha El Houssaini, Zaid Abdullah, Sabrine Kheriji, K. Besbes, O. Kanoun
Localization is an essential feature in numerous Wireless Sensor Network (WSN) applications, including tracking, health monitoring, and military supervision. Analytical modeling and analysis of the localization system remain challenging and infeasible since it offers oversimplified results with limited reliability to the evaluated cases. Likewise, disseminating test-beds involves a lot of effort, making the simulation phase indispensable to study the WSN localization. The defined localization model needs to ensure solid and pragmatic network assumptions during the simulation. However, most network simulators don’t meet specific criteria related to network definition, such as scalability and heterogeneity. As part of this endeavor, a guideline for evaluating and analyzing technical methods of range-based localization is developed. Multiple linear regression is used to generate the different localization instances, which enables to support different and non-dependent parameters. The developed guideline for range-based localization is tested and validated for existing localization
{"title":"Design of a Guideline for Range-based Localization Algorithms Evaluation using Multiple Linear Regressions","authors":"Dhouha El Houssaini, Zaid Abdullah, Sabrine Kheriji, K. Besbes, O. Kanoun","doi":"10.5220/0011013100003118","DOIUrl":"https://doi.org/10.5220/0011013100003118","url":null,"abstract":"Localization is an essential feature in numerous Wireless Sensor Network (WSN) applications, including tracking, health monitoring, and military supervision. Analytical modeling and analysis of the localization system remain challenging and infeasible since it offers oversimplified results with limited reliability to the evaluated cases. Likewise, disseminating test-beds involves a lot of effort, making the simulation phase indispensable to study the WSN localization. The defined localization model needs to ensure solid and pragmatic network assumptions during the simulation. However, most network simulators don’t meet specific criteria related to network definition, such as scalability and heterogeneity. As part of this endeavor, a guideline for evaluating and analyzing technical methods of range-based localization is developed. Multiple linear regression is used to generate the different localization instances, which enables to support different and non-dependent parameters. The developed guideline for range-based localization is tested and validated for existing localization","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"87 1","pages":"256-262"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74948737","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 : 2022-01-01DOI: 10.5220/0010800300003118
C. Lange, A. Ahrens
Telecommunication networks have been identified to exhibit a substantial electrical power and energy demand. Therefore it is important to utilize power and energy efficie nt systems as building blocks for such networks. In wired access networks copper cables are used for highspeed d ata transmission. Important technical indicators for power and energy efficiency of transmission systems are t r nsmit power and energy per bit. In this work it is investigated how transmit power and energy per bit in li nearly equalized multilevel baseband cable transmission systems can be minimized by exploiting degrees of fr eedom in the transmission link design for given throughput and transmission quality. First, the constella tion size is a degree of freedom: Its optimization leads to minimum values of transmit power and energy per bit depend ing on the interplay between throughput and band limitation of the cable. Second, the partitioning of th e equalization to transmitter and receiver is a degree of freedom: Here, a uniform distribution of the linear equal izing function is found to be optimum in terms of minimum transmit power or energy per bit at a given transmiss ion performance and quality. The results show that the optimization of constellation size and equalizati on partitioning leads to significant transmit power and energy-per-bit savings compared to conventional baseband c ble transmission systems.
{"title":"Improving Power and Energy Efficiency of Linearly Equalized Baseband Cable Transmission Links","authors":"C. Lange, A. Ahrens","doi":"10.5220/0010800300003118","DOIUrl":"https://doi.org/10.5220/0010800300003118","url":null,"abstract":"Telecommunication networks have been identified to exhibit a substantial electrical power and energy demand. Therefore it is important to utilize power and energy efficie nt systems as building blocks for such networks. In wired access networks copper cables are used for highspeed d ata transmission. Important technical indicators for power and energy efficiency of transmission systems are t r nsmit power and energy per bit. In this work it is investigated how transmit power and energy per bit in li nearly equalized multilevel baseband cable transmission systems can be minimized by exploiting degrees of fr eedom in the transmission link design for given throughput and transmission quality. First, the constella tion size is a degree of freedom: Its optimization leads to minimum values of transmit power and energy per bit depend ing on the interplay between throughput and band limitation of the cable. Second, the partitioning of th e equalization to transmitter and receiver is a degree of freedom: Here, a uniform distribution of the linear equal izing function is found to be optimum in terms of minimum transmit power or energy per bit at a given transmiss ion performance and quality. The results show that the optimization of constellation size and equalizati on partitioning leads to significant transmit power and energy-per-bit savings compared to conventional baseband c ble transmission systems.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"113 1","pages":"15-25"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81019337","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 : 2022-01-01DOI: 10.5220/0010916700003118
Adrián Hinostroza, Jimmy Tarrillo
Cultural heritage assets represent the history and unique identity for every nation in the world, so their protection and conservation are mandatory tasks. However, although such assets are usually exhibited in special museum rooms, sometimes the environmental conditions may be modified, putting the materials at risk. These facts can be more severe in warehouses, where environmental conditions can vary even more. Most of the measurement sites are located in spaces that make it difficult or do not allow the handling of commercial devices for measuring multiple environmental parameters, either due to their size, energy consumption or because they cannot be connected to the internet, so there is no timely availability of information on the environmental condition in which they are found. This work presents the design and implementation of a wireless sensors network based on Bluetooth Low Energy and ZigBee, able to measure temperature, moisture, light intensity and irradiance, and particulate matter 2.5 and 10, in the different spaces where objects of cultural heritage are found. These measurements are sent to a web platform through the use of Wi-Fi or GPRS technology.
{"title":"Wireless Sensor Network for Environmental Monitoring of Cultural Heritage","authors":"Adrián Hinostroza, Jimmy Tarrillo","doi":"10.5220/0010916700003118","DOIUrl":"https://doi.org/10.5220/0010916700003118","url":null,"abstract":"Cultural heritage assets represent the history and unique identity for every nation in the world, so their protection and conservation are mandatory tasks. However, although such assets are usually exhibited in special museum rooms, sometimes the environmental conditions may be modified, putting the materials at risk. These facts can be more severe in warehouses, where environmental conditions can vary even more. Most of the measurement sites are located in spaces that make it difficult or do not allow the handling of commercial devices for measuring multiple environmental parameters, either due to their size, energy consumption or because they cannot be connected to the internet, so there is no timely availability of information on the environmental condition in which they are found. This work presents the design and implementation of a wireless sensors network based on Bluetooth Low Energy and ZigBee, able to measure temperature, moisture, light intensity and irradiance, and particulate matter 2.5 and 10, in the different spaces where objects of cultural heritage are found. These measurements are sent to a web platform through the use of Wi-Fi or GPRS technology.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"41 1","pages":"171-175"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81634586","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 : 2022-01-01DOI: 10.5220/0011011700003118
Adam Górski, M. Ogorzałek
In this paper we propose a novel genetic programming based iterative improvement approach for hardware/software cosynthesis of distributed embedded systems. Unlike other genetic programming solutions for distributed embedded systems in this work the system is specified using conditional task graph. In such a graph every node represents a single task. The edge represents amount of data needed to be transferred between connected tasks, however some of the edges can be conditional. The data is transferred using those edges only if condition is satisfied. Proposed methodology is based on genetic programming. Therefore the genotype is a system construction tree. In each nodes of the tree are system building options. The next generations are obtained using standard genetic operators: mutation, crossover, cloning and selection.
{"title":"Genetic Programming based Algorithm for HW/SW Cosynthesis of Distributed Embedded Systems Specified using Conditional Task Graph","authors":"Adam Górski, M. Ogorzałek","doi":"10.5220/0011011700003118","DOIUrl":"https://doi.org/10.5220/0011011700003118","url":null,"abstract":"In this paper we propose a novel genetic programming based iterative improvement approach for hardware/software cosynthesis of distributed embedded systems. Unlike other genetic programming solutions for distributed embedded systems in this work the system is specified using conditional task graph. In such a graph every node represents a single task. The edge represents amount of data needed to be transferred between connected tasks, however some of the edges can be conditional. The data is transferred using those edges only if condition is satisfied. Proposed methodology is based on genetic programming. Therefore the genotype is a system construction tree. In each nodes of the tree are system building options. The next generations are obtained using standard genetic operators: mutation, crossover, cloning and selection.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"158 1","pages":"239-243"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75639270","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 : 2022-01-01DOI: 10.5220/0010777100003118
Egor Streck, R. Herschel, Patrick Wallrath, M. Sunderam, G. Elger
This paper presents the joint work from the “HORIS” project, with a focus on pedestrian detection at busstops by radar sensors mounted in the infrastructure to support future autonomous driving and protecting pedestrians in critical situations. Two sensor systems are investigated and evaluated. The first based on single radar sensor phase-sensitive raw data analysis and the second based on sensor data fusion of cluster data with two radar sensors using neural networks to predict the position of pedestrians.
{"title":"Comparison of Two Different Radar Concepts for Pedestrian Protection on Bus Stops","authors":"Egor Streck, R. Herschel, Patrick Wallrath, M. Sunderam, G. Elger","doi":"10.5220/0010777100003118","DOIUrl":"https://doi.org/10.5220/0010777100003118","url":null,"abstract":"This paper presents the joint work from the “HORIS” project, with a focus on pedestrian detection at busstops by radar sensors mounted in the infrastructure to support future autonomous driving and protecting pedestrians in critical situations. Two sensor systems are investigated and evaluated. The first based on single radar sensor phase-sensitive raw data analysis and the second based on sensor data fusion of cluster data with two radar sensors using neural networks to predict the position of pedestrians.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"67 1","pages":"89-96"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88251913","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 : 2022-01-01DOI: 10.5220/0010838100003118
Surendar Devasundaram, Andrea Raymond, Mark Virgen, Drue Shapiro, Joon-Hyuk Park
The studies of human physiology, movement biomechanics and environmental interaction are generally conducted in laboratory settings using standard lab equipment such as Electrocardiography (ECG), respiration belt, motion capture cameras and a force-plate instrumented treadmill. With recent advancements in wearable technology, research on human behaviour, physiology and biomechanics in real-world environments has become much more viable and offers a means to collect real-world data from a broader range of activities. However, current wearable devices are typically a stand-alone system, each employing its own hardware and software interfaces that often vary between different systems, thus making it difficult to simultaneously integrate and instrument them on a user for synchronous multimodal measurements. To overcome this limitation, we propose a reconfigurable multimodal wearable sensor network (RMWSN) for real-time monitoring and data acquisition of various biomechanics, physiological and environmental parameters. The RMWSN incorporates a two-tier sensor network: the first tier utilizes wearable sensors with a microcontroller and the second tier consists of an efficient edge computing device for real-time data processing, data logging and wireless data transmission. The novel feature of the system that differentiates itself from existing wearable sensor systems is the modular and reconfigurable design in a wearable form, its scalability, easy accessibility, and integration with external computing devices. The outcomes of this research demonstrate an efficient multimodal wearable sensor network for use in many applications for human health and ambience monitoring.
{"title":"Design of a Reconfigurable Multimodal Wearable Sensor Network (RMWSN) for Human Health and Ambience Monitoring","authors":"Surendar Devasundaram, Andrea Raymond, Mark Virgen, Drue Shapiro, Joon-Hyuk Park","doi":"10.5220/0010838100003118","DOIUrl":"https://doi.org/10.5220/0010838100003118","url":null,"abstract":"The studies of human physiology, movement biomechanics and environmental interaction are generally conducted in laboratory settings using standard lab equipment such as Electrocardiography (ECG), respiration belt, motion capture cameras and a force-plate instrumented treadmill. With recent advancements in wearable technology, research on human behaviour, physiology and biomechanics in real-world environments has become much more viable and offers a means to collect real-world data from a broader range of activities. However, current wearable devices are typically a stand-alone system, each employing its own hardware and software interfaces that often vary between different systems, thus making it difficult to simultaneously integrate and instrument them on a user for synchronous multimodal measurements. To overcome this limitation, we propose a reconfigurable multimodal wearable sensor network (RMWSN) for real-time monitoring and data acquisition of various biomechanics, physiological and environmental parameters. The RMWSN incorporates a two-tier sensor network: the first tier utilizes wearable sensors with a microcontroller and the second tier consists of an efficient edge computing device for real-time data processing, data logging and wireless data transmission. The novel feature of the system that differentiates itself from existing wearable sensor systems is the modular and reconfigurable design in a wearable form, its scalability, easy accessibility, and integration with external computing devices. The outcomes of this research demonstrate an efficient multimodal wearable sensor network for use in many applications for human health and ambience monitoring.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"26 1","pages":"26-33"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75515328","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 : 2022-01-01DOI: 10.5220/0010983900003118
M. A. D. Oliveira, Gregory Sedrez, G. Souza, G. H. Cavalheiro
Increasing field productivity is not just a financial need, but also a social issue. Several technologies converge to promote food production and, in this context, the fog computing paradigm can support the development of solutions for precision agriculture. This paper proposes an application of the Jetson Nano device, embedded in an agricultural spraying implement. This device supports the decision on irrigation activity, based on data collected by sensors distributed in the field. The sensors read information about the plant’s stress level from electrical signals and the Jetson Nano enables real-time analysis, through machine learning algorithms, to manage the product spray rate, according to the condition of the crop. Initial studies validated the proposed solution on an experimental basis, showing that the device can be an alternative for this purpose, since it can be used efficiently in machine learning tasks from data collected by the sensors. The experiment also highlighted some limitations of the proposed solution, such as the importance of observing the conditions of the system as a whole, its context and environment, in order to improve performance in spraying process.
{"title":"An Application with Jetson Nano for Plant Stress Detection and On-field Spray Decision","authors":"M. A. D. Oliveira, Gregory Sedrez, G. Souza, G. H. Cavalheiro","doi":"10.5220/0010983900003118","DOIUrl":"https://doi.org/10.5220/0010983900003118","url":null,"abstract":"Increasing field productivity is not just a financial need, but also a social issue. Several technologies converge to promote food production and, in this context, the fog computing paradigm can support the development of solutions for precision agriculture. This paper proposes an application of the Jetson Nano device, embedded in an agricultural spraying implement. This device supports the decision on irrigation activity, based on data collected by sensors distributed in the field. The sensors read information about the plant’s stress level from electrical signals and the Jetson Nano enables real-time analysis, through machine learning algorithms, to manage the product spray rate, according to the condition of the crop. Initial studies validated the proposed solution on an experimental basis, showing that the device can be an alternative for this purpose, since it can be used efficiently in machine learning tasks from data collected by the sensors. The experiment also highlighted some limitations of the proposed solution, such as the importance of observing the conditions of the system as a whole, its context and environment, in order to improve performance in spraying process.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"16 1","pages":"215-222"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76506484","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 : 2022-01-01DOI: 10.5220/0011014400003118
Sain Saginbekov, Dossay Oryspayev
Wireless Sensor Networks (WSNs) consist of a number of resource-constrained sensor nodes and a designated node called a sink, which collects data from the sensor nodes. A WSN can be used in numerous applications such as subject tracking and monitoring, where it is often desirable to keep the location of the subject private. In these types of applications, an adversary can locate the monitored subject, if a location privacy protection scheme is not applied. In this paper, we propose an adaptive energy and delay efficient scheme, called Snowflake, that conceals the location of subjects from a global adversary. Snowflake can be adapted to make the delivery delay smaller, or to make the packet overhead low. The simulation results show that Snowflake performs better than an existing algorithm.
{"title":"Snowflake: An Adaptive Energy and Delay Efficient Scheme for Source Location Privacy in Wireless Sensor Networks","authors":"Sain Saginbekov, Dossay Oryspayev","doi":"10.5220/0011014400003118","DOIUrl":"https://doi.org/10.5220/0011014400003118","url":null,"abstract":"Wireless Sensor Networks (WSNs) consist of a number of resource-constrained sensor nodes and a designated node called a sink, which collects data from the sensor nodes. A WSN can be used in numerous applications such as subject tracking and monitoring, where it is often desirable to keep the location of the subject private. In these types of applications, an adversary can locate the monitored subject, if a location privacy protection scheme is not applied. In this paper, we propose an adaptive energy and delay efficient scheme, called Snowflake, that conceals the location of subjects from a global adversary. Snowflake can be adapted to make the delivery delay smaller, or to make the packet overhead low. The simulation results show that Snowflake performs better than an existing algorithm.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"26 1","pages":"81-86"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77580125","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 : 2022-01-01DOI: 10.5220/0010985800003118
Hassan Harb, Diana Nader, Kassem Sabeh, A. Makhoul
Nowadays, the IoT applications benefit widely many sectors including healthcare, environment, military, surveillance, etc. While the potential benefits of IoT are real and significant, two major challenges remain in front of fully realizing this potential: limited sensor energy and decision making in real-time applications. To overcome these problems, data reduction techniques over data routed to the sink should be used in such a way that they do not discard useful information. In this paper, we propose a new energy efficient and real-time based algorithm to improve the decision making in IoT. At first data reduction is applied at the sensor nodes to reduce their raw data based on a predefined scoring system. Then, a second data reduction phase is applied at intermediate nodes, called grid leaders. It uses K-means as a clustering algorithm in order to eliminate data redundancy collected by the neighbor nodes. Finally, decision is taken at the sink level based on a scoring risk system and a risk-decision table. The evaluation of our technique is made based on a simulation from data collected on sensors at Intel Berkeley research lab. The obtained results show the relevance of our technique, in terms of data reduction and energy consumption.
{"title":"Real-time Approach for Decision Making in IoT-based Applications","authors":"Hassan Harb, Diana Nader, Kassem Sabeh, A. Makhoul","doi":"10.5220/0010985800003118","DOIUrl":"https://doi.org/10.5220/0010985800003118","url":null,"abstract":"Nowadays, the IoT applications benefit widely many sectors including healthcare, environment, military, surveillance, etc. While the potential benefits of IoT are real and significant, two major challenges remain in front of fully realizing this potential: limited sensor energy and decision making in real-time applications. To overcome these problems, data reduction techniques over data routed to the sink should be used in such a way that they do not discard useful information. In this paper, we propose a new energy efficient and real-time based algorithm to improve the decision making in IoT. At first data reduction is applied at the sensor nodes to reduce their raw data based on a predefined scoring system. Then, a second data reduction phase is applied at intermediate nodes, called grid leaders. It uses K-means as a clustering algorithm in order to eliminate data redundancy collected by the neighbor nodes. Finally, decision is taken at the sink level based on a scoring risk system and a risk-decision table. The evaluation of our technique is made based on a simulation from data collected on sensors at Intel Berkeley research lab. The obtained results show the relevance of our technique, in terms of data reduction and energy consumption.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"94 1","pages":"223-230"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86712779","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 : 2022-01-01DOI: 10.5220/0011012600003118
Mohamed Khalil Baazaoui, Ilef Ketata, Ghofrane Fersi, A. Fakhfakh, F. Derbel
The simulation of different scenarios and protocols under environmental conditions is a success key for a reliable Wireless Sensor Network (WSN). For some applications, the variation of the weather conditions as the temperature and humidity could affect the Received Signal Strength Indication (RSSI). Running multisimulation scenarios is required to evaluate the proposed protocols and architectures before their deployment in a real-world network. The more the simulator mimics the real world, the closer the evaluation results to the real network. In this paper, we have integrated temperature and humidity in the Omnet simulator and have taken into account the impact of these environmental factors on the RSSI based on real experiments that were carried out using the CC1101 radio ship of Panstamp Avr2 at 868 MHz frequency.
{"title":"Implementation of RSSI Module in Omnet++ for Investigation of WSN Simulations based on Real Environmental Conditions","authors":"Mohamed Khalil Baazaoui, Ilef Ketata, Ghofrane Fersi, A. Fakhfakh, F. Derbel","doi":"10.5220/0011012600003118","DOIUrl":"https://doi.org/10.5220/0011012600003118","url":null,"abstract":"The simulation of different scenarios and protocols under environmental conditions is a success key for a reliable Wireless Sensor Network (WSN). For some applications, the variation of the weather conditions as the temperature and humidity could affect the Received Signal Strength Indication (RSSI). Running multisimulation scenarios is required to evaluate the proposed protocols and architectures before their deployment in a real-world network. The more the simulator mimics the real world, the closer the evaluation results to the real network. In this paper, we have integrated temperature and humidity in the Omnet simulator and have taken into account the impact of these environmental factors on the RSSI based on real experiments that were carried out using the CC1101 radio ship of Panstamp Avr2 at 868 MHz frequency.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"59 1","pages":"281-287"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85979114","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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