Pub Date : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.17
P. Keller
The ANTARES collaboration is currently deploying a large underwater neutrino telescope at a depth of 2500 m in the Mediterranean Sea. The first detection line was connected in March 2006 and five of such lines are now currently operated. The spatial reconstruction of the detector is mainly based on an acoustic positioning system. This contribution presents the architecture and performances of this acoustic system, as well as first results obtained by the analysis of several months of data taking.
{"title":"Acoustic Positioning System for the Deep-Sea ANTARES Neutrino Telescope","authors":"P. Keller","doi":"10.1109/SENSORCOMM.2007.17","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.17","url":null,"abstract":"The ANTARES collaboration is currently deploying a large underwater neutrino telescope at a depth of 2500 m in the Mediterranean Sea. The first detection line was connected in March 2006 and five of such lines are now currently operated. The spatial reconstruction of the detector is mainly based on an acoustic positioning system. This contribution presents the architecture and performances of this acoustic system, as well as first results obtained by the analysis of several months of data taking.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126746439","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.90
M. Badakhshan, D. Arifler
We analyze spreading dynamics of malware (malicious software) that can replicate itself on other nodes in a network of wireless sensing devices. Epidemic models have previously been employed by researchers to investigate the spreading dynamics of malware in the Internet. Most studies have generally ignored spatial deployment characteristics of nodes which are critical for a realistic analysis in wireless sensor networks. We consider random and localized attack strategies by malware that may be introduced by an adversary into a network with either completely random or clustered sensor deployment patterns. Results demonstrate that sensor networks face serious security threats, particularly in cases where sensors are deployed in clusters and when malware can carry out attacks to random targets. We recommend possible defense measures based on simple topology control that might slow down the spread of malware across the network and allow necessary measures to be taken for containing the spread when malware employs a localized attack strategy. Presented analysis has a significant impact on network security and defense industry since it provides an insight into potential threats to information and surveillance infrastructure consisting of wireless sensing devices.
{"title":"Simulation Based Analysis of Spreading Dynamics of Malware in Wireless Sensor Networks","authors":"M. Badakhshan, D. Arifler","doi":"10.1109/SENSORCOMM.2007.90","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.90","url":null,"abstract":"We analyze spreading dynamics of malware (malicious software) that can replicate itself on other nodes in a network of wireless sensing devices. Epidemic models have previously been employed by researchers to investigate the spreading dynamics of malware in the Internet. Most studies have generally ignored spatial deployment characteristics of nodes which are critical for a realistic analysis in wireless sensor networks. We consider random and localized attack strategies by malware that may be introduced by an adversary into a network with either completely random or clustered sensor deployment patterns. Results demonstrate that sensor networks face serious security threats, particularly in cases where sensors are deployed in clusters and when malware can carry out attacks to random targets. We recommend possible defense measures based on simple topology control that might slow down the spread of malware across the network and allow necessary measures to be taken for containing the spread when malware employs a localized attack strategy. Presented analysis has a significant impact on network security and defense industry since it provides an insight into potential threats to information and surveillance infrastructure consisting of wireless sensing devices.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130098803","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.44
Dimitrios Lymberopoulos, Thiago Teixeira, A. Savvides
In this paper we demonstrate the application of a probabilistic grammar-based formulation to detect complex activities from simple sensor measurements. In particular, we present a grammar hierarchy for identifying "cooking activity" from low-level location measurements in an assisted living application. Using real data from a pilot network deployment, we show that our system can recognize complex behaviors in a manner that is invariant across multiple different instances of the same activity. Our experiments also demonstrate that substantial data interpretation can take place at the node level, allowing the network to operate on compact symbolic representations.
{"title":"Detecting Patterns for Assisted Living Using Sensor Networks: A Case Study","authors":"Dimitrios Lymberopoulos, Thiago Teixeira, A. Savvides","doi":"10.1109/SENSORCOMM.2007.44","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.44","url":null,"abstract":"In this paper we demonstrate the application of a probabilistic grammar-based formulation to detect complex activities from simple sensor measurements. In particular, we present a grammar hierarchy for identifying \"cooking activity\" from low-level location measurements in an assisted living application. Using real data from a pilot network deployment, we show that our system can recognize complex behaviors in a manner that is invariant across multiple different instances of the same activity. Our experiments also demonstrate that substantial data interpretation can take place at the node level, allowing the network to operate on compact symbolic representations.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125492536","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.32
R. Machado, S. Tekinay
A challenging requirement in wireless sensor networks is the deployment of nodes in a wireless sensor network to satisfy continuous sensing with extended network lifetime while maintaining uniform coverage in the deployment region. While dense random deployments satisfy coverage and sensing requirements, constructing dense networks of sensor nodes poses economical constraints as well as the problem of redundancy. We provide an analytical framework for estimating the redundancy in a random deployment of nodes without the need of location information of nodes. We use an information theoretic approach to estimate the redundancy in a randomly deployed wireless sensor network and provide the Cramer-Rao bound on the error in estimating the redundancy in a wireless sensor network. We illustrate this redundancy estimation approach and calculate the bounds on the error in estimating the redundancy for a wireless sensor network with 1-redundancy. We also analytically show the interdependence between redundancy and network lifetime for random deployment.
{"title":"Bounds on the Error in Estimating Redundancy in Randomly Deployed Wireless Sensor Networks","authors":"R. Machado, S. Tekinay","doi":"10.1109/SENSORCOMM.2007.32","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.32","url":null,"abstract":"A challenging requirement in wireless sensor networks is the deployment of nodes in a wireless sensor network to satisfy continuous sensing with extended network lifetime while maintaining uniform coverage in the deployment region. While dense random deployments satisfy coverage and sensing requirements, constructing dense networks of sensor nodes poses economical constraints as well as the problem of redundancy. We provide an analytical framework for estimating the redundancy in a random deployment of nodes without the need of location information of nodes. We use an information theoretic approach to estimate the redundancy in a randomly deployed wireless sensor network and provide the Cramer-Rao bound on the error in estimating the redundancy in a wireless sensor network. We illustrate this redundancy estimation approach and calculate the bounds on the error in estimating the redundancy for a wireless sensor network with 1-redundancy. We also analytically show the interdependence between redundancy and network lifetime for random deployment.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"710 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116122893","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.9
Mahdi Rezaei, A. Fasih
Driving is a very complex task which, at its core, involves the interaction between the driver and his/her environment. It is therefore extremely important to develop driver assistance systems that are centered on the driver. In this regards, various state of the art methods such as multi data sensor fusion techniques are applied on various types of physical sensors such as 3D cameras, ultrasounds, sonar and infrared. However, sensor data alone are always uncertain to some extent due to noise and possible sensor failures. Also the driver, alone, is uncertain because of several parameters such as tiredness and drowsiness. In this paper we show the importance of providing a novel hybrid data fusion algorithm using both physical sensors and the driver's senses, as a supplementary data fusion system while driving. In this article, we use a fuzzy logic controller to manage and fuse the gathered data so take better action than individual driver or sensor fusion.
{"title":"A Hybrid Method in Driver and Multisensor Data Fusion, Using a Fuzzy Logic Supervisor for Vehicle Intelligence","authors":"Mahdi Rezaei, A. Fasih","doi":"10.1109/SENSORCOMM.2007.9","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.9","url":null,"abstract":"Driving is a very complex task which, at its core, involves the interaction between the driver and his/her environment. It is therefore extremely important to develop driver assistance systems that are centered on the driver. In this regards, various state of the art methods such as multi data sensor fusion techniques are applied on various types of physical sensors such as 3D cameras, ultrasounds, sonar and infrared. However, sensor data alone are always uncertain to some extent due to noise and possible sensor failures. Also the driver, alone, is uncertain because of several parameters such as tiredness and drowsiness. In this paper we show the importance of providing a novel hybrid data fusion algorithm using both physical sensors and the driver's senses, as a supplementary data fusion system while driving. In this article, we use a fuzzy logic controller to manage and fuse the gathered data so take better action than individual driver or sensor fusion.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131199258","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.58
Myungjune Youn, Y. Oh, Jaiyong Lee, Yeonsoo Kim
In wireless sensor network, IEEE 802.15.4 should operate in beacon-enabled mode in order to schedule periodic sleep and wake up to minimize energy consumption. In beacon enabled mode QoS is supported by using guaranteed time slots(GTS). However maximum number of GTS node cannot exceed seven, and the number is not sufficient for wireless sensor network which have high node density. In this paper, we present QoS support mechanism in beacon enabled mode using CSMA/CA back-off time. Our algorithm have compatibility with IEEE 802.15.4 Standard, which means that there is no need to change hardware to support QoS on existing network. We will analysis the performance of our algorithm to design QoS parameters.
{"title":"IEEE 802.15.4 Based QoS Support Slotted CSMA/CA MAC for Wireless Sensor Networks","authors":"Myungjune Youn, Y. Oh, Jaiyong Lee, Yeonsoo Kim","doi":"10.1109/SENSORCOMM.2007.58","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.58","url":null,"abstract":"In wireless sensor network, IEEE 802.15.4 should operate in beacon-enabled mode in order to schedule periodic sleep and wake up to minimize energy consumption. In beacon enabled mode QoS is supported by using guaranteed time slots(GTS). However maximum number of GTS node cannot exceed seven, and the number is not sufficient for wireless sensor network which have high node density. In this paper, we present QoS support mechanism in beacon enabled mode using CSMA/CA back-off time. Our algorithm have compatibility with IEEE 802.15.4 Standard, which means that there is no need to change hardware to support QoS on existing network. We will analysis the performance of our algorithm to design QoS parameters.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131650503","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.106
E. Navarro, J. M. Blanes, J. A. Carrasco, Càndid Reig
In this work, two alternative printed antennas for wireless sensor networks applications in the ISM band are presented. The antennas are based on the well- known Yagi-Uda antenna and the principal difference between them is on the printed dipole design; in only one face of the substrate or in both faces. The design has been performed by using an in house developed code based on FDTD algorithm. In the design process, we have focused on the optimization of the bandwidth and the directivity. Finally, some prototypes with different number of dipoles have been fabricated and measured. The good agreement between simulated and experimental results demonstrates the validity of the simulations. The radiation parameters show the potentiality of these antennas for increasing the distance of communication in wireless networks.
{"title":"Yagi-Like Printed Antennas for Wireless Sensor Networks","authors":"E. Navarro, J. M. Blanes, J. A. Carrasco, Càndid Reig","doi":"10.1109/SENSORCOMM.2007.106","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.106","url":null,"abstract":"In this work, two alternative printed antennas for wireless sensor networks applications in the ISM band are presented. The antennas are based on the well- known Yagi-Uda antenna and the principal difference between them is on the printed dipole design; in only one face of the substrate or in both faces. The design has been performed by using an in house developed code based on FDTD algorithm. In the design process, we have focused on the optimization of the bandwidth and the directivity. Finally, some prototypes with different number of dipoles have been fabricated and measured. The good agreement between simulated and experimental results demonstrates the validity of the simulations. The radiation parameters show the potentiality of these antennas for increasing the distance of communication in wireless networks.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125112173","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.102
R. Lajara, J. Alberola, J. Pelegrí, T. Sogorb, J. Vicente Llario
Currently the appearance of really low power wireless transceivers at very low prices is motivating the development of many wireless applications out of the industrial field, which up to now turn to be large in size and expensive. We present the design of a tiny and low cost Wireless Weather Station to measure accurate temperature (plusmn0.1degC), relative humidity (plusmn3%), light intensity and atmospheric pressure (plusmn0.8 hPa). These direct climatic variables and others indirectly attainable, like the dew-point, wind chill, etc, are readable through a Web page. The chosen sensors are factory calibrated and have a digital interface. The Weather Sensor Nodes are able to achieve ultra low power consumption (40 muA average), allowing a single supercapacitor to power them for 52 days.
{"title":"Ultra Low Power Wireless Weather Station","authors":"R. Lajara, J. Alberola, J. Pelegrí, T. Sogorb, J. Vicente Llario","doi":"10.1109/SENSORCOMM.2007.102","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.102","url":null,"abstract":"Currently the appearance of really low power wireless transceivers at very low prices is motivating the development of many wireless applications out of the industrial field, which up to now turn to be large in size and expensive. We present the design of a tiny and low cost Wireless Weather Station to measure accurate temperature (plusmn0.1degC), relative humidity (plusmn3%), light intensity and atmospheric pressure (plusmn0.8 hPa). These direct climatic variables and others indirectly attainable, like the dew-point, wind chill, etc, are readable through a Web page. The chosen sensors are factory calibrated and have a digital interface. The Weather Sensor Nodes are able to achieve ultra low power consumption (40 muA average), allowing a single supercapacitor to power them for 52 days.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115699271","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.99
J. A. Galache, V. Gutiérrez, Ramón Agüero, L. Muñoz
Gathering different pieces of information about the environmental parameters within certain places is becoming a cornerstone for a set of applications and services and is, in fact, bringing about the appearance of new ones. Wireless sensor networks (WSN) appear as a key enabler for this sort of functionality, being able to obtain the required information and transmitting it to concentrator nodes. However, there are different sensor platforms, usually not compatible among them and, under specific conditions, considering the advantages of each one, it might be sensible using more than one of them within the same application. This paper describes the design and implementation of a framework for WSN (WSN adaptation framework, WAF), which offers a generic API able to manage subjacent heterogeneous sensor platforms, thus allowing a homogenous usage of their functionalities, especially from the service developer perspective, who does not longer need to worry about the primitives specific to the different platforms. Furthermore, the paper shows two illustrative examples on the usage of the generic API.
{"title":"Towards the Integration of Heterogeneous Wireless Sensor Platforms: A generic API Approach","authors":"J. A. Galache, V. Gutiérrez, Ramón Agüero, L. Muñoz","doi":"10.1109/SENSORCOMM.2007.99","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.99","url":null,"abstract":"Gathering different pieces of information about the environmental parameters within certain places is becoming a cornerstone for a set of applications and services and is, in fact, bringing about the appearance of new ones. Wireless sensor networks (WSN) appear as a key enabler for this sort of functionality, being able to obtain the required information and transmitting it to concentrator nodes. However, there are different sensor platforms, usually not compatible among them and, under specific conditions, considering the advantages of each one, it might be sensible using more than one of them within the same application. This paper describes the design and implementation of a framework for WSN (WSN adaptation framework, WAF), which offers a generic API able to manage subjacent heterogeneous sensor platforms, thus allowing a homogenous usage of their functionalities, especially from the service developer perspective, who does not longer need to worry about the primitives specific to the different platforms. Furthermore, the paper shows two illustrative examples on the usage of the generic API.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116240610","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 : 2007-10-14DOI: 10.1109/SENSORCOMM.2007.105
Magdalena García, C. Martinez, J. Tomás, Jaime Lloret
Sometimes wireless sensors could be placed randomly without predetermined coordinates, so systems to self-locate in an area should be studied. This paper shows two approaches developed by us where wireless sensors could find their position using WLAN technology. The scenario is an indoor environment that contains walls, interferences, multipath effect, humidity and temperature variations, etc., and both approaches are based on the Received Signal Strength Indicator (RSSI). The first approach uses a training session and the position is based on Neuronal Networks using the training measurements. The second approach uses triangulation model with some fixed access points, but taking into account wall losses. In both systems we have considered the variations measured to obtain a bigger accuracy in the sensor localization.
有时无线传感器可以随机放置，没有预先确定的坐标，因此应该研究在一个区域内自我定位的系统。本文介绍了我们开发的两种利用无线局域网技术实现无线传感器定位的方法。该场景是包含墙壁、干扰、多径效应、湿度和温度变化等的室内环境，两种方法均基于RSSI (Received Signal Strength Indicator)。第一种方法使用一个训练过程，位置基于使用训练测量的神经网络。第二种方法采用具有固定接入点的三角测量模型，但考虑了墙损。在这两个系统中，我们都考虑了测量的变化，以获得更高的传感器定位精度。
{"title":"Wireless Sensors Self-Location in an Indoor WLAN Environment","authors":"Magdalena García, C. Martinez, J. Tomás, Jaime Lloret","doi":"10.1109/SENSORCOMM.2007.105","DOIUrl":"https://doi.org/10.1109/SENSORCOMM.2007.105","url":null,"abstract":"Sometimes wireless sensors could be placed randomly without predetermined coordinates, so systems to self-locate in an area should be studied. This paper shows two approaches developed by us where wireless sensors could find their position using WLAN technology. The scenario is an indoor environment that contains walls, interferences, multipath effect, humidity and temperature variations, etc., and both approaches are based on the Received Signal Strength Indicator (RSSI). The first approach uses a training session and the position is based on Neuronal Networks using the training measurements. The second approach uses triangulation model with some fixed access points, but taking into account wall losses. In both systems we have considered the variations measured to obtain a bigger accuracy in the sensor localization.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882253","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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