2009 IEEE International Conference on Pervasive Computing and Communications最新文献_第8页

Exploiting semantics for event detection systems 利用事件检测系统的语义

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912817

Ronen Vaisenberg

引用次数: 0

HexNet: Hexagon-based localization technique for wireless sensor networks 基于六边形的无线传感器网络定位技术

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912871

H. AbdelSalam, S. Olariu

{"title":"HexNet: Hexagon-based localization technique for wireless sensor networks","authors":"H. AbdelSalam, S. Olariu","doi":"10.1109/PERCOM.2009.4912871","DOIUrl":"https://doi.org/10.1109/PERCOM.2009.4912871","url":null,"abstract":"Developing efficient localization techniques to allow sensors to estimate their positions has been a hot research topic for long time. Sensory readings are almost meaningless if they are not associated with the locations in which these readings were taken. Getting location information through recording positions manually or through an expensive GPS chip are not valid options for sensor networks. We propose and evaluate, a new localization protocol for sensor networks. Although our technique is presented using only a single anchor, it can be extended easily to benefit from the existence of several anchors. The proposed technique starts by hypothetically tiling the deployment area around the anchor node using identical hexagons. After that, the closest sensor node to the center of each of these hypothetical hexagons is determined, we refer to these nodes as backbone sensors. The positions of hexagon centers hence the positions of backbone sensors are estimated geometrically. After that, backbone sensors are treated as beacons and the positions of all non-backbone sensors are estimated using the centroid approach. Simulation results under noise-free and noisy conditions show that the proposed protocol achieves a localization accuracy that makes it useful for most WSN applications.","PeriodicalId":322416,"journal":{"name":"2009 IEEE International Conference on Pervasive Computing and Communications","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117119399","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: 20

A mobile product recommendation system interacting with tagged products 移动产品推荐系统与标签产品交互

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912751

Felix von Reischach, F. Michahelles, D. Guinard, E. Fleisch

引用次数: 71

Quality- and energy-aware data compression by aggregation in WSN data streams 基于WSN数据流聚合的质量感知和能量感知数据压缩

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912866

C. Cappiello, F. Schreiber

引用次数: 37

Multi-Event Handlers for sensor-driven ubiquitous computing applications 用于传感器驱动的普适计算应用程序的多事件处理程序

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912823

Sean Reilly

引用次数: 3

LoSeCo: Location-based search computing for pervasive device augmentation LoSeCo:用于普及设备增强的基于位置的搜索计算

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912830

Yiqiang Chen, Zhuo Sun, Juan Qi, Derek Hao Hu, Qiang Yang

引用次数: 3

Swarm robot synchronization using RFID tags 蜂群机器人同步使用RFID标签

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912788

Giulio Zecca, P. Couderc, M. Banâtre, R. Beraldi

引用次数: 15

Optimal k-support coverage paths in wireless sensor networks 无线传感器网络中最优k支持覆盖路径

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912843

Shaojie Tang, Xufei Mao, Xiangyang Li

引用次数: 9

An efficient distributed synchronization method for TD/CDMA based Mobile Ad Hoc Networks 一种基于TD/CDMA的移动自组网高效分布式同步方法

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912841

D. Vaman, A. Ashok

{"title":"An efficient distributed synchronization method for TD/CDMA based Mobile Ad Hoc Networks","authors":"D. Vaman, A. Ashok","doi":"10.1109/PERCOM.2009.4912841","DOIUrl":"https://doi.org/10.1109/PERCOM.2009.4912841","url":null,"abstract":"Mobile Ad Hoc Network (MANET) and Sensor Networks have no fixed infrastructures such as Base Stations and Towers, and have limited bandwidth across the network elements. They use multi-hop radio communications to deliver multi-service (voice, data, and video) information. Each network element can either send a packet or receive a packet but not both. Therefore, synchronization between radios must be achieved for every packet scheduling time with minimal amount of time to ensure QoS provisioning. This paper presents a novel distributed synchronization scheme for radio communication in a TD/CDMA based MANET and Sensor Networks. The scheme is designed using a first order Digital Phase locked loop (DPLL) which performs the ‘local locking’ at each receiver radio in a cluster of radios. The method exploits the clock drifts in each local clock of a radio with reference to which the local stored clocks are phase adjusted within the loop of the DPLL. A parameter called ‘phase adjustment index’ represented by ‘N’- an integer; is defined and is used as the scaling value of the local clock frequency. Analytical results have been shown to yield an effectively reduced size of overhead when compared to the overhead sizes dedicated for synchronization purpose in IEEE 802.11. The results have been verified by simulation in MATLAB.","PeriodicalId":322416,"journal":{"name":"2009 IEEE International Conference on Pervasive Computing and Communications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134233212","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: 0

Dynamic clustering for tracking multiple transceiver-free objects 动态聚类跟踪多个无收发器对象

2009 IEEE International Conference on Pervasive Computing and Communications Pub Date : 2009-03-09 DOI: 10.1109/PERCOM.2009.4912777

Dian Zhang, L. Ni

引用次数: 110