2008 Ninth International Conference on Mobile Data Management Workshops, MDMW最新文献_第2页

Information Dissemination of Location Dependent Data in Consideration of Connectivity and Network Partition in Mobile Ad Hoc Sensor Networks 移动Ad Hoc传感器网络中考虑连通性和网络划分的位置依赖数据信息传播

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.10

G. Tsuchida, S. Ishihara

引用次数: 1

The Integration of Data Streams with Probabilities and Relational Database using Bayesian Networks 基于贝叶斯网络的数据流概率与关系数据库集成

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.25

R. Sato, H. Kawashima, H. Kitagawa

{"title":"The Integration of Data Streams with Probabilities and Relational Database using Bayesian Networks","authors":"R. Sato, H. Kawashima, H. Kitagawa","doi":"10.1109/MDMW.2008.25","DOIUrl":"https://doi.org/10.1109/MDMW.2008.25","url":null,"abstract":"As sensor devices develop, not only the amount of uncertain sensor data streams is dramatically increasing, but also the streams are processed in a variety of ways. We believe one of important ways is to reason contexts from them, and the integration of dynamic reasoning result and static data in databases. This paper proposes the integration of probabilistic data streams and relational database by using Bayesian networks which is one of the most useful techniques for reasoning uncertain contexts in the physical world. And this paper has three concrete contributions. For the first contribution, we model the Bayesian networks as an abstract data type in the object relational database. Bayesian networks are stored as objects, and we define new operator to integrate Bayesian networks and relational database. Since Bayesian networks has the graphical model, it does not directly fit relational database that is constituted of relations. Our new operators allows to extract a part of data from Bayesian networks in the form of relations. For the second contribution, to allow continuous queries over data streams generated from the Bayesian networks, our proposed method introduces a new concept, lifetime, into the Bayesian networks. Although the Bayesian networks is a famous reasoning method, it is not yet treated in data stream systems. The lifespan allows a Bayesian networks to detect multiple events for each evaluation of a continuous query. For the third contribution, we proposed efficient methods for probability values propagations. The methods omits unnecessary update propagations for continuous queries. The result of experiments clearly showed that our proposed algorithm outperforms usual algorithms.","PeriodicalId":242324,"journal":{"name":"2008 Ninth International Conference on Mobile Data Management Workshops, MDMW","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115337610","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}

引用次数: 1

Mobile Sensor Control Methods for Reducing Power Consumption in Sparse Sensor Network 稀疏传感器网络中降低功耗的移动传感器控制方法

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.15

T. Shinjo, S. Kitajima, T. Ogawa, T. Hara, S. Nishio

引用次数: 13

On a Mobile Sensor Control Method for Uniform Sensing in Sparse Sensor Networks 稀疏传感器网络中均匀感知的移动传感器控制方法

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.18

K. Treeprapin, A. Kanzaki, T. Hara, S. Nishio

引用次数: 1

Cost Efficient Data Collection of Sensory Originated Data using Context-Aware Mobile Devices 使用上下文感知移动设备的低成本传感数据收集

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.6

P. Jayaraman, A. Zaslavsky, J. Delsing

{"title":"Cost Efficient Data Collection of Sensory Originated Data using Context-Aware Mobile Devices","authors":"P. Jayaraman, A. Zaslavsky, J. Delsing","doi":"10.1109/MDMW.2008.6","DOIUrl":"https://doi.org/10.1109/MDMW.2008.6","url":null,"abstract":"Sensory originated data collection and processing has always been a big challenge in wireless sensor networks (WSN). WSN represent a distributed producer of large amount of valuable data required by varied number of applications. In this paper we propose the use of context aware data mules (CADAMULE) as a solution for smart data collection within sensor networks. We present an extension to Context Spaces modelling theory by incorporating context discovery at runtime. This facilitates our system to discover new context attributes by looking into previous situations and events when pre-defined context is not sufficient for the reasoning process. We use this model as a base to provide contextual information to the mobile data mule whose spare capacity for communication and processing can be used to collect and process sensor data. The focus of the paper is to propose and evaluate a cost-efficient data collection technique which uses a cost formula computed from the context information obtained by the system. We validate our system by a simulation in which we try to reason out and identify the best and also the most cost efficient data mule. The context aware data mule negotiates with the sensor node collecting and delivering the data to the sink.","PeriodicalId":242324,"journal":{"name":"2008 Ninth International Conference on Mobile Data Management Workshops, MDMW","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123662457","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}

引用次数: 6

SPIRAL: A Scalable Private Information Retrieval Approach to Location Privacy 螺旋:一个可扩展的隐私信息检索方法的位置隐私

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.23

Ali Khoshgozaran, Houtan Shirani-Mehr, C. Shahabi

{"title":"SPIRAL: A Scalable Private Information Retrieval Approach to Location Privacy","authors":"Ali Khoshgozaran, Houtan Shirani-Mehr, C. Shahabi","doi":"10.1109/MDMW.2008.23","DOIUrl":"https://doi.org/10.1109/MDMW.2008.23","url":null,"abstract":"Protecting users' location information in location-based services, also termed location privacy, has recently garnered significant attention due to its importance in satisfying users' privacy concerns when using location-aware services. Several approaches proposed in the literature blur the user's location in a region by increasing its spatial extent or anonymizing the user among several other users. Such approaches in nature require users to communicate through a trusted anonymizer for all of their queries which can impose unrealistic overall communication/computation overhead between the server and the anonymizer for users with more stringent privacy requirements. We revisit the location privacy problem with the objective of providing significantly more stringent privacy guarantees and propose SPIRAL, a scalable private information retrieval approach to location privacy, which is to the best of our knowledge, the first approach to utilize practical private information retrieval (PIR) as a more fundamental approach to enable blind evaluation of range queries. We perform several experiments on real-world data to evaluate the effectiveness and the feasibility of our approach.","PeriodicalId":242324,"journal":{"name":"2008 Ninth International Conference on Mobile Data Management Workshops, MDMW","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463919","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}

引用次数: 50

Context Driven Compositional Adaptation of Mobile Agents 上下文驱动的移动代理组合自适应

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.4

Kutila Gunasekera, A. Zaslavsky, S. Loke, S. Krishnaswamy

引用次数: 4

Maximizing Lifetime of Wireless Sensor Networks with Mobile Sensor Nodes 具有移动传感器节点的无线传感器网络寿命最大化

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.14

R. Katsuma, Y. Murata, N. Shibata, K. Yasumoto, M. Ito

引用次数: 2

Estimating the Relevance of Information in Inter-Vehicle Ad Hoc Networks 车辆间自组织网络中信息相关性的估计

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.7

T. Delot, N. Cenerario, S. Ilarri

引用次数: 21

Mobile Situation Spaces 移动态势空间

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW Pub Date : 2008-04-27 DOI: 10.1109/MDMW.2008.16

S. Dietze, A. Gugliotta, J. Domingue

{"title":"Mobile Situation Spaces","authors":"S. Dietze, A. Gugliotta, J. Domingue","doi":"10.1109/MDMW.2008.16","DOIUrl":"https://doi.org/10.1109/MDMW.2008.16","url":null,"abstract":"Context-aware information systems are highly desired, particularly in highly dynamic mobile environments. Semantic Web services (SWS) address context-adaptation by enabling the automatic discovery of distributed Web services based on comprehensive semantic capability descriptions. However, whereas SWS technology supports the allocation of resources, it does not entail the discovery of appropriate SWS representations for a given situational context. Even though the appropriateness of resources in mobile settings is strongly dependent on the current situation, SWS technology does not explicitly encourage the representation of situational contexts. Moreover, describing the complex notion of a specific situation by utilizing symbolic SWS representation facilities is costly, prone to ambiguity issues and may never reach semantic completeness. Moreover, since not any real-world situation completely equals another, a potentially infinite set of situation parameters has to be matched to a finite set of semantically defined SWS resource descriptions to enable context-adaptability. To overcome these issues, we propose mobile situation spaces (MSS) which enable the description of situation characteristics as members in geometrical vector spaces following the idea of conceptual spaces (CS). Semantic similarity between situational contexts is calculated in terms of their Euclidean distance within a MSS. Extending merely symbolic SWS descriptions with context information on a conceptual level through MSS enables similarity-based matchmaking between real-world situation characteristics and predefined resource representations as part of SWS descriptions. To prove the feasibility, we provide a proof-of-concept prototype which applies MSS to support context-adaptation across distinct mobile situations.","PeriodicalId":242324,"journal":{"name":"2008 Ninth International Conference on Mobile Data Management Workshops, MDMW","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132195806","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}

引用次数: 2