2010 44th Annual Conference on Information Sciences and Systems (CISS)最新文献_第10页

ALOHA with Collision Resolution: MAC layer analysis and software defined radio implementation 具有碰撞分辨率的ALOHA: MAC层分析和软件定义的无线电实现

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464810

J. Kountouriotis, Xin Liu, A. Petropulu, K. Dandekar

引用次数: 1

On the impact of transmit waveforms on channel estimation inaccuracies in distributed MIMO ad hoc networks 分布式MIMO自组织网络中发射波形对信道估计精度的影响

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464923

P. Casari, Davide Chiarotto, M. Zorzi

{"title":"On the impact of transmit waveforms on channel estimation inaccuracies in distributed MIMO ad hoc networks","authors":"P. Casari, Davide Chiarotto, M. Zorzi","doi":"10.1109/CISS.2010.5464923","DOIUrl":"https://doi.org/10.1109/CISS.2010.5464923","url":null,"abstract":"In this paper, we present a general analysis to evaluate the performance of correlator-based channel estimation in distributed MIMO ad hoc networks. This analysis is required to characterize the behavior of networks employing advanced physical-level (PHY) techniques, which call for precise assessment of channel effects in order to be operated correctly. To this end, we assume that several non-orthogonal signals are simultaneously received in a coordinated (i.e., frame-synchronous) but symbol-asynchronous fashion, and undergo flat, independent Rayleigh fading. We show that, in this scenario, channel estimates are affected not only by noise, but also by a displacement depending on the current channel realization. Such additional component can be modeled as a Gaussian random variable, of which we calculate the mean and variance, highlighting its dependence on the number of training symbols and the shape of transmit impulse. In particular, we show that an interesting interplay exists between MAC parameters (e.g., throughput) and the type of impulse chosen in an ad hoc networking protocol simulator.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127199451","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: 5

Transmission completion time minimization in an energy harvesting system 能量收集系统中传输完成时间的最小化

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464947

Jing Yang, S. Ulukus

引用次数: 91

Traitor-tracing aided by compressed SURF image features 利用压缩SURF图像特征辅助叛徒跟踪

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464707

Guillaume Gigaud, P. Moulin

引用次数: 0

Random frames from binary linear block codes 随机帧从二进制线性块码

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464847

B. Babadi, V. Tarokh

引用次数: 4

Sobolev duals of random frames 随机帧的Sobolev对偶

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464811

C. S. Güntürk, M. Lammers, A. Powell, Rayan Saab, Ö. Yilmaz

引用次数: 2

A probabilistic transmission scheme for distributed estimation in wireless sensor networks 无线传感器网络中分布式估计的概率传输方案

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464918

E. Masazade, R. Niu, P. Varshney, Mehmet Keskinöz

{"title":"A probabilistic transmission scheme for distributed estimation in wireless sensor networks","authors":"E. Masazade, R. Niu, P. Varshney, Mehmet Keskinöz","doi":"10.1109/CISS.2010.5464918","DOIUrl":"https://doi.org/10.1109/CISS.2010.5464918","url":null,"abstract":"In this paper, we propose a probabilistic transmission scheme for distributed parameter estimation in wireless sensor networks. We assume that sensor observation noises are Gaussian distributed with non-identical statistics and the fusion center does not know the sensors' noise statistics. Each sensor employs a data rate to quantize its analog measurement that is a function of its signal-to-noise ratio (SNR). In order not to exceed the available capacity, for each possible data rate, the quantized sensor data are sent to the fusion center with a certain transmission probability. Under total bandwidth and network utilization constraints, we formulate an optimization problem to find the optimal transmission probabilities of each data rate by minimizing the inverse of the average Fisher information of the estimate. Under stringent availability of bandwidth, simulation results show that the proposed probabilistic transmission scheme outperforms the scheme where the total bandwidth is equally distributed among sensors. The optimal transmission probabilities are assigned in such a way that the sensors with high SNR have priority to transmit their data, and the mean squared estimation error is quite close to the case where all the sensors transmit at the maximum data rate.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128863590","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

Practical Distributed Video Coding based on source rate estimation 基于信源率估计的实用分布式视频编码

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464919

Rami D. Halloush, H. Radha

{"title":"Practical Distributed Video Coding based on source rate estimation","authors":"Rami D. Halloush, H. Radha","doi":"10.1109/CISS.2010.5464919","DOIUrl":"https://doi.org/10.1109/CISS.2010.5464919","url":null,"abstract":"In Distributed Video Coding (DVC) the encoder compresses frames at source rates that depend on the statistical dependency between the Wyner-Ziv (WZ) and side information frames. An important issue that we address in this paper is providing the encoder with a mechanism to identify the source rate to be used in encoding a WZ frame. One possible solution is to follow a feedback approach; the encoder starts by sending a small amount of data (low source rate). In case the decoder fails to recover the compressed frame, it provides the encoder with a feedback requesting more bits. This solution results in using source rates that are ideal in the sense that they are the minimal rates that lead to successful decoding. Nevertheless, this solution might not be practical for visual sensor networks as it may exhaust limited bandwidth and energy resources. We propose a mechanism to estimate ideal source rates without the need to exchanging feedback messages. The proposed mechanism uses conditional entropy (entropy of a WZ source conditioned on a side information source) to estimate ideal source rates. Further, we show that by estimating the source rates (using optimal estimators) we can achieve a video quality and compression performance that is close to that achieved when feedback messages are exchanged. Moreover, we show that by avoiding incremental transmission and feedback messages, the proposed estimation-based approach can demonstrate lower energy consumption for a range of video quality compared with the feedback approach when both are deployed over a real visual sensor platform, namely, the imote2/IMB400.","PeriodicalId":118872,"journal":{"name":"2010 44th Annual Conference on Information Sciences and Systems (CISS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134266384","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: 7

Vanishing criteria in multiterminal source coding 多终端信源编码中的消失准则

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464974

S. Jana, R. Blahut

引用次数: 0

Adaptive spectrum sensing with noise variance estimation for dynamic cognitive radio systems 基于噪声方差估计的动态认知无线电系统自适应频谱感知

2010 44th Annual Conference on Information Sciences and Systems (CISS) Pub Date : 2010-03-17 DOI: 10.1109/CISS.2010.5464913

Deepak R. Joshi, D. Popescu, O. Dobre

引用次数: 36