Digital Communications and Networks最新文献_第5页

Joint Range and Load Considerations for Topology Control in Wireless Ad Hoc Networks 无线自组织网络拓扑控制的联合范围和负载考虑

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288503

S. Zarifzadeh, A. Nayyeri, N. Yazdani

引用次数: 1

Resilient JPv6 Multicast Address Allocation in Ad Hoc Networks Ad Hoc网络中弹性JPv6组播地址分配

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288561

J.K.O. Lindqvist, Antti Ylä-Jääski, J. Manner

引用次数: 0

Hybrid Wireless Networks: Applications, Architectures and New Perspectives 混合无线网络:应用、架构和新观点

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288571

Christian Tchepnda, H. Moustafa, H. Labiod

{"title":"Hybrid Wireless Networks: Applications, Architectures and New Perspectives","authors":"Christian Tchepnda, H. Moustafa, H. Labiod","doi":"10.1109/SAHCN.2006.288571","DOIUrl":"https://doi.org/10.1109/SAHCN.2006.288571","url":null,"abstract":"With the advent and ubiquitous of wireless technology, a wide range of advanced services are expected to be supported including appealing services that currently exist in wired systems. Nevertheless, the resource constraints in wireless environment may render difficulty to realizing all the desirable services. Consequently, an infrastructure with high data rate is necessary to complement the resource constraints and to act as anchor points linking mobile nodes to other fixed networks as the Internet. Hybrid wireless networks have emerged as a promising solution, allowing mobile clients to achieve higher performance and service access in a seamless manner independent of their existence in wireless LAN (WLAN) communication range. In this paper we address the benefits of hybrid wireless networks, showing their possible applications and presenting a classification for their emerging architectures. Also, we identify the research challenge arising from the problem of applying the grid computing concept in such hybrid wireless environment, showing the expected benefits from the aggregated fixed-mobile capacity. Finally, we propose our vision for a potential architectural model, which is expected to provide useful services by the network operator or the service provider in such a hybrid environment","PeriodicalId":58925,"journal":{"name":"Digital Communications and Networks","volume":"54 1","pages":"848-853"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80056010","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: 15

Code Dissemination in Sensor Networks with MDeluge 基于MDeluge的传感器网络代码传播

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288527

Xia Zh, B. Sarikaya

引用次数: 7

Eavesdropping Minimization via Transmission Power Control in Ad-Hoc Wireless Networks 基于传输功率控制的Ad-Hoc无线网络窃听最小化

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288535

Jung-Chun Kao, R. Marculescu

{"title":"Eavesdropping Minimization via Transmission Power Control in Ad-Hoc Wireless Networks","authors":"Jung-Chun Kao, R. Marculescu","doi":"10.1109/SAHCN.2006.288535","DOIUrl":"https://doi.org/10.1109/SAHCN.2006.288535","url":null,"abstract":"Reconnaissance activity is the most frequent incident on computer networks since 2002. In fact, most attacks (including DoS attacks) are usually preceded by reconnaissance activity. In order to defend against reconnaissance activity in ad-hoc wireless networks, we propose to use transmission power control as an effective mean to minimize the eavesdropping risk. Our main contributions are as follows: first, we cast the w-th order eavesdropping risk as the maximum probability of packets being eavesdropped when there are w adversarial nodes in the network. Second, we derive the closed-form solution of the 1st order eavesdropping risk as a 3rd-order polynomial function of normalized transmission radius. This derivation is based on the recently proposed model by El Gamal which assumes a uniform distribution of user nodes. Then we generalize the model to allow arbitrary user nodes distribution and prove that the uniform user distribution actually minimizes the 1st order eavesdropping risk. This result plays an essential role in deriving the first analytical bounds for the eavesdropping risk given arbitrary user distribution. Our simulation results show that for a wide range of non-uniform traffic patterns, the eavesdropping risk has the same order of magnitude as the corresponding uniform traffic cases","PeriodicalId":58925,"journal":{"name":"Digital Communications and Networks","volume":"10 1","pages":"707-714"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88204485","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: 42

Search-quality Tradeoffs for Routing in Non-ideal Wireless Networks 非理想无线网络中路由的搜索质量权衡

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288404

C. Buragohain, D. Agrawal, S. Suri

引用次数: 1

Query Processing Optimization Through Sample Size and Monitoring Coverage Controlling in Wireless Sensor Networks 基于样本大小和监测覆盖控制的无线传感器网络查询处理优化

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288568

Qingchun Ren, Q. Liang

{"title":"Query Processing Optimization Through Sample Size and Monitoring Coverage Controlling in Wireless Sensor Networks","authors":"Qingchun Ren, Q. Liang","doi":"10.1109/SAHCN.2006.288568","DOIUrl":"https://doi.org/10.1109/SAHCN.2006.288568","url":null,"abstract":"Query processing has been studied extensively in traditional database systems. But few of existed methods can be directly applied to wireless sensor database systems due to their characteristics, such as decentralized nature, limited computational power, imperfect information recorded, and energy scarcity of individual sensor nodes. In this paper, we extend our previous work: quality-guaranteed and energy-efficient algorithm (QGEE) for wireless sensor database systems. We introduce radius of covering disk from point spread function (PSF) aspect and sample size for query quality and energy consumption control. PSF introduces ambiguity into query answers, since the sensitivity of nodes is nonuniform within monitoring region. Sample size determination refers to the process of determining exactly how many samples should be measured in order that the sampling distribution of estimators meets users' pre-specified target precision. In this paper, we formulate the criteria to determine the optimum radius and sample size according to users' requirements on query answers. Simulation results demonstrate that the impact of sample size and monitoring coverage on query answers in terms of root mean square error (RMSE)","PeriodicalId":58925,"journal":{"name":"Digital Communications and Networks","volume":"15 1","pages":"830-834"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82742304","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

Low-complexity beamforming techniques for wireless multihop networks 无线多跳网络的低复杂度波束形成技术

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288505

R. Vilzmann, J. Widmer, I. Aad, C. Hartmann

引用次数: 18

Coverage Aware Buffer Management and Scheduling for Wireless Sensor Networks 无线传感器网络覆盖感知缓冲管理与调度

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288414

Eugene Chai, M. Chan, A. Ananda

引用次数: 9

A Biologically Inspired Architecture for Self-Managing Sensor Networks 自我管理传感器网络的生物学启发架构

Digital Communications and Networks Pub Date : 2006-01-01 DOI: 10.1109/SAHCN.2006.288553

P. Boonma, P. Champrasert, J. Suzuki

引用次数: 9