2007 2nd International Symposium on Wireless Pervasive Computing最新文献_第7页

MSM: A Middleware Architecture for Enhancing Interaction with Mobile Services MSM:用于增强与移动服务交互的中间件体系结构

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342642

Q. Mahmoud, E. Al-Masri

引用次数: 2

Implementing a Vector RLS Smart Antenna Beamformer Using Xilinx System Generator 利用赛灵思系统发生器实现矢量RLS智能天线波束形成器

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342673

V. Zaharov, A. Gonzalez, J. Acosta, M. Teixeira

引用次数: 3

Performance of Parallel Decentralized Sensor Network with Decision Feedback 具有决策反馈的并联分散传感器网络性能研究

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342680

S. Kopparthi, B. Natarajan

{"title":"Performance of Parallel Decentralized Sensor Network with Decision Feedback","authors":"S. Kopparthi, B. Natarajan","doi":"10.1109/ISWPC.2007.342680","DOIUrl":"https://doi.org/10.1109/ISWPC.2007.342680","url":null,"abstract":"In most previous studies, distributed sensor networks are typically assumed to be memory less. In this paper, we consider a distributed sensor network with feedback at both the sensor level as well as at the fusion center. Specifically, we analyze (1) a local feedback system (LFS), where the most recent local decision is fed back to its corresponding local sensor; (2) a local and global feedback system 1 (LGFS1) where the most recent local decision is fed back to its corresponding local sensor and the most recent global decision is fed back to the fusion center, and (3) a local and global feedback system 2 (LGFS2), where the most recent global decision is fed back to all the local sensors and to the fusion center in addition to the local decision being fed back to its corresponding local sensor. For all the cases, we derive the decision rule and compare the global probability of error using simulations. We show that in an error-free channel, any form of feedback improves GPE performance relative to no feedback system. However, feeding the global decision back to local sensors not only drains resources but also provides the worst performance among feedback schemes","PeriodicalId":403213,"journal":{"name":"2007 2nd International Symposium on Wireless Pervasive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129461174","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

Power Conservation in ZigBee Networks using Temporal Control 采用时序控制的ZigBee网络节能

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342596

A. Viswanathan, T. Boult

{"title":"Power Conservation in ZigBee Networks using Temporal Control","authors":"A. Viswanathan, T. Boult","doi":"10.1109/ISWPC.2007.342596","DOIUrl":"https://doi.org/10.1109/ISWPC.2007.342596","url":null,"abstract":"This paper addresses power reduction in wireless sensor networks (WSNs), proposing an application-level solution for the IEEE 802.15.4 compliant ZigBee protocol. ZigBee protocol supports the least power-consuming 'sleep' mode of operation only for end-nodes that do not route packets. This significantly limits ZigBee's WSN applications. This paper presents a ZigBee-based power-conserving network design in which a multi-mode scheduler can be used at the application-level for all network nodes that brings the whole net up and down. This allows all nodes to 'deep sleep', hence increasing the per-node lifetime, leading to an increased overall network lifetime. Results of network simulations with a rate monotonic-based scheduler, schedules operating times for various nodes in the entire network, setting the devices to the lowest power operating mode - sleep mode - for all other times when no operation needs to be performed. When the network wakes up, all nodes necessary for a particular scheduled transmission awake and rebuild the ZigBee network. The paper presents power savings estimates from simulations showing significant advantages over standard ZigBee","PeriodicalId":403213,"journal":{"name":"2007 2nd International Symposium on Wireless Pervasive Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125308317","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: 16

Mobile Sensor Management For Target Tracking 目标跟踪的移动传感器管理

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342656

S. Maheswararajah, S. Halgamuge

引用次数: 11

Efficient and Secure Multicast in WirelessMAN 无线城域网中高效安全的组播技术

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342638

M. Ginley, Sen Xu, Chin-Tser Huang, M. Matthews

引用次数: 6

An Operational model for Mobile Target Tracking in Wireless Sensor Networks 无线传感器网络中移动目标跟踪的操作模型

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342581

M. Bui, J. Myoupo, I. Sow

{"title":"An Operational model for Mobile Target Tracking in Wireless Sensor Networks","authors":"M. Bui, J. Myoupo, I. Sow","doi":"10.1109/ISWPC.2007.342581","DOIUrl":"https://doi.org/10.1109/ISWPC.2007.342581","url":null,"abstract":"The wireless sensor network is an emerging technology that may greatly facilitate human life by providing ubiquitous sensing, computing, monitoring and communication capability, through which people can more closely interact with the environment wherever he/she goes. To be context-aware, one of the central issues in sensor networks is location tracking, whose goal is to monitor the roaming path of a moving target. Its application is observed in several fields such as the meteorology, the chemistry, the road traffic, the battle field and so on... When a sensor detects a target in its transmission range it informs all other sensors by a short message (yes/no) in order to monitor least movements of the target. According to the strategy used several architectures were proposed in the literature. In this paper we propose a hexagonal architecture as follows; we assign coordinates in 2D plane to each node (memorized in its memory) and an unique identify number ID before the random deployment in any geographical area in order to form a hexagonal network. After the random deployment, a collaborative work initiated by the sensor which have coordinates (0, 0), allows each sensor to be able to find its position. We finally use the hexagonal network properties to define our tracking algorithm","PeriodicalId":403213,"journal":{"name":"2007 2nd International Symposium on Wireless Pervasive Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127510874","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: 8

DCT-based Channel Estimation Method for MIMO-OFDM Systems Using Phase Shifted Pilot Sequences 基于dct的移相导频MIMO-OFDM系统信道估计方法

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342565

Shaopeng Feng, Weilin Wu

引用次数: 1

A Countermeasure against Frequent Attacks Based on the Blom-scheme in Ad Hoc Sensor Networks 基于blom方案的Ad Hoc传感器网络高频攻击对策

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342593

Shiuh-Jeng Wang, Yuh-Ren Tsai, Jhoong-Wei Chan

引用次数: 8

QoS Dashboard: Translation of User Inputs to Networking Strategies QoS仪表板:用户输入到网络策略的转换

2007 2nd International Symposium on Wireless Pervasive Computing Pub Date : 2007-04-16 DOI: 10.1109/ISWPC.2007.342567

Wenjing Wang, M. Chatterjee, K. Kwiat

{"title":"QoS Dashboard: Translation of User Inputs to Networking Strategies","authors":"Wenjing Wang, M. Chatterjee, K. Kwiat","doi":"10.1109/ISWPC.2007.342567","DOIUrl":"https://doi.org/10.1109/ISWPC.2007.342567","url":null,"abstract":"Quality-of-service (QoS) metrics are usually defined in terms of technical parameters like delay, jitter and bandwidth. However, the use or the interpretation of these QoS parameters are rather subjective when it comes to the end user. Oftentimes, the end user finds it difficult to express his desired QoS in such technical parameters though he has a fair idea of what QoS he desires. In this paper, we propose a simple interface, called QoS dashboard, that translates the user inputs to networking parameters that are used by various layers of the protocol stack. The QoS dashboard is primarily meant for tactical network implementation within a military setting of network-centric warfare. We borrow concepts from pricing to show that there is always a cost associated when better QoS is desired. We conduct a case study where we consider the routing strategies in an ad hoc network environment. We show how the user's preferences or priorities translate to network parameters at the routing layer. Depending on the user inputs, the most suitable routing strategy is selected so as to deliver the desired QoS. Ns-2 based simulation results demonstrate how delay, throughput, and network lifetime are affected when the routing strategy is changed","PeriodicalId":403213,"journal":{"name":"2007 2nd International Symposium on Wireless Pervasive Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121190730","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: 4