2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)最新文献_第2页

Fully wireless implementation of distributed beamforming on a software-defined radio platform 分布式波束成形在软件定义无线电平台上的完全无线实现

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185745

Muhammad Mahboob Ur Rahman, H. Baidoo-Williams, R. Mudumbai, S. Dasgupta

{"title":"Fully wireless implementation of distributed beamforming on a software-defined radio platform","authors":"Muhammad Mahboob Ur Rahman, H. Baidoo-Williams, R. Mudumbai, S. Dasgupta","doi":"10.1145/2185677.2185745","DOIUrl":"https://doi.org/10.1145/2185677.2185745","url":null,"abstract":"We describe the key ideas behind our implementation of distributed beamforming on a GNU-radio based software-defined radio platform. Distributed beamforming is a cooperative transmission scheme whereby a number of nodes in a wireless network organize themselves into a virtual antenna array and focus their transmission in the direction of the intended receiver, potentially achieving orders of magnitude improvements in energy efficiency. This technique has been extensively studied over the past decade and its practical feasibility has been demonstrated in multiple experimental prototypes. Our contributions in the work reported in this paper are three-fold: (a) the first ever all-wireless implementation of distributed beamforming without any secondary wired channels for clock distribution or channel feedback, (b) a novel digital baseband approach to synchronization of high frequency RF signals that requires no hardware mod-ifications, and (c) an implementation of distributed beam-forming on a standard, open platform that allows easy reuse and extension. We describe the design of our system in de-tail present some initial results and discuss future directions for this work.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123016561","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: 71

@Scale: Insights from a large, long-lived appliance energy WSN @Scale:来自大型、长寿命家电能源WSN的见解

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185683

Stephen Dawson-Haggerty, S. Lanzisera, Jay Taneja, Richard Brown, D. Culler

引用次数: 55

Poster abstract: Direct multi-hop time synchronization with constructive interference 海报摘要:具有建设性干扰的直接多跳时间同步

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185704

Yin Wang, Gaofeng Pan, Zhiyu Huang

引用次数: 1

Poster abstract: Shipping data from heterogeneous protocols on packet train 海报摘要:在分组列车上从异构协议传输数据

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185710

C. Liang, Kaifei Chen, Jie Liu, N.B. Priyantha, Feng Zhao

引用次数: 0

Demo abstract: Sensor-enabled Yo-yos as new musical instruments 演示摘要:传感器驱动的溜溜球作为一种新的乐器

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185715

Junghyun Jun, Sunardi, Lijuan Wang, Joel W. Matthys, Simon Lui, Yu Gu

引用次数: 1

Poster abstract: Understanding city dynamics by manifold learning correlation analysis 海报摘要:通过流形学习相关分析了解城市动态

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185702

Wenzhu Zhang, Lin Zhang

引用次数: 0

Demo abstract: MiDebug: Microcontroller integrated development and debugging environment MiDebug:单片机集成开发调试环境

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185714

Chenguang Shen, H. Herman, Zainul Charbiwala, M. Srivastava

引用次数: 1

Poster abstract: A beamforming method for multiple source DOA estimation, spectrum separation and localization from field data 摘要:一种多源DOA估计、频谱分离和定位的波束形成方法

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185708

Juo-Yu Lee, Zachary T. Harlow, T. Collier, C. Taylor, K. Yao

引用次数: 1

Error-resilient and complexity-constrained distributed coding for large scale sensor networks 大规模传感器网络的纠错和复杂性约束分布式编码

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185743

Kumar Viswanatha, S. Ramaswamy, A. Saxena, K. Rose

{"title":"Error-resilient and complexity-constrained distributed coding for large scale sensor networks","authors":"Kumar Viswanatha, S. Ramaswamy, A. Saxena, K. Rose","doi":"10.1145/2185677.2185743","DOIUrl":"https://doi.org/10.1145/2185677.2185743","url":null,"abstract":"There has been considerable interest in distributed source coding within the compression and sensor network research communities in recent years, primarily due to its potential contributions to low-power sensor networks. However, two major obstacles pose an existential threat on practical deployment of such techniques in real world sensor networks, namely, the exponential growth of decoding complexity with network size and coding rates, and the critical requirement for error-resilience given the severe channel conditions in many wireless sensor networks. Motivated by these chal-lenges, this paper proposes a novel, unified approach for large scale, error-resilient distributed source coding, based on an optimally designed classifier-based decoding frame-work, where the design explicitly controls the decoding com-plexity. We also present a deterministic annealing (DA) based global optimization algorithm for the design due to the highly non-convex nature of the cost function, which further enhances the performance over basic greedy iterative descent technique. Simulation results on data, both synthetic and from real sensor networks, provide strong evidence that the approach opens the door to practical deployment of distributed coding in large sensor networks. It not only yields substantial gains in terms of overall distortion, compared to other state-of-the-art techniques, but also demonstrates how its decoder naturally scales to large networks while constraining the complexity, thereby enabling performance gains that increase with network size.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117022674","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

Accuracy-aware aquatic diffusion process profiling using robotic sensor networks 使用机器人传感器网络的精度感知水生扩散过程分析

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI: 10.1145/2185677.2185742

Yu Wang, R. Tan, G. Xing, Jianxun Wang, Xiaobo Tan

{"title":"Accuracy-aware aquatic diffusion process profiling using robotic sensor networks","authors":"Yu Wang, R. Tan, G. Xing, Jianxun Wang, Xiaobo Tan","doi":"10.1145/2185677.2185742","DOIUrl":"https://doi.org/10.1145/2185677.2185742","url":null,"abstract":"Water resources and aquatic ecosystems are facing increasing threats from climate change, improper waste disposal, and oil spill incidents. It is of great interest to deploy mobile sensors to detect and monitor certain diffusion processes (e.g., chemical pollutants) that are harmful to aquatic en-vironments. In this paper, we propose an accuracy-aware diffusion process profiling approach using smart aquatic mobile sensors such as robotic fish. In our approach, the robotic sensors collaboratively profile the characteristics of a diffusion process including source location, discharged substance amount, and its evolution over time. In particular, the robotic sensors reposition themselves to progressively improve the profiling accuracy. We formulate a novel movement scheduling problem that aims to maximize the profiling accuracy subject to limited sensor mobility and energy budget. We develop an efficient greedy algorithm and a more complex near-optimal radial algorithm to solve the problem. We conduct extensive simulations based on real data traces of robotic fish movement and wireless communication. The results show that our approach can accurately profile dynamic diffusion processes under tight energy budgets. More-over, a preliminary evaluation based on the implementation on TelosB motes validates the feasibility of deploying our movement scheduling algorithms on mote-class robotic sensor platforms.","PeriodicalId":231003,"journal":{"name":"2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114274483","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: 24