2011 31st International Conference on Distributed Computing Systems Workshops最新文献_第5页

A Quantitative Comparison of Energy Consumption and WSN Lifetime for LEACH and LEACH-SM LEACH和LEACH- sm无线传感器网络能耗和寿命的定量比较

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.55

B. Bakr, L. Lilien

{"title":"A Quantitative Comparison of Energy Consumption and WSN Lifetime for LEACH and LEACH-SM","authors":"B. Bakr, L. Lilien","doi":"10.1109/ICDCSW.2011.55","DOIUrl":"https://doi.org/10.1109/ICDCSW.2011.55","url":null,"abstract":"Extending the period of operation (lifetime) of wireless sensor networks (WSNs) is one of the most critical issues. Their limitations are due to limited energy resources. Available research results reveal that significant improvement in WSN lifetime can be achieved by adding spares (spare nodes). At the moment of WSN deployment, the minimum required coverage of WSN targets is assured by the primaries (primary nodes). Spares, if activated, would provide an above-threshold (more than required), redundant target coverage, so can be switched off initially. They are ready to be switched on when any primary exhausts its energy. The spares must be properly managed. Mismanagement includes redundant and above-threshold coverage, which increase transmission of redundant data to cluster heads (collecting information from regular nodes, that is, primary nodes that are not cluster heads). Therefore, mismanaged spares can shorten WSN lifetime instead of extending it. To extend WSN lifetime, we propose the LEACHSM protocol, which modifies the prominent LEACH protocol by providing an optimal energy-saving spare management, including spare selection. LEACH-SM adds the spare selection phase to LEACH. This paper presents a quantitative comparison of energy consumption and WSN lifetime for both protocols.","PeriodicalId":133514,"journal":{"name":"2011 31st International Conference on Distributed Computing Systems Workshops","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114520886","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: 36

Democratic Leader Finding Algorithm for Large Mobile Ad Hoc Networks 大型移动自组织网络的民主领袖搜索算法

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.50

Shantanu Sharma, Awadhesh Kumar Singh

引用次数: 4

The Edge of Smartness 智慧的边缘

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.24

C. Williamson

引用次数: 0

Marina-Scale Water Temperature Sensing in Real Time Using Microtomography 利用微层析成像技术实时测量码头水温

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.43

A. Goodney, D. Negandhi, K. Joshi, Young H. Cho

{"title":"Marina-Scale Water Temperature Sensing in Real Time Using Microtomography","authors":"A. Goodney, D. Negandhi, K. Joshi, Young H. Cho","doi":"10.1109/ICDCSW.2011.43","DOIUrl":"https://doi.org/10.1109/ICDCSW.2011.43","url":null,"abstract":"Small scale marine environments (bays, channels, estuaries, marinas, etc.) are dynamic environments where diverse flora and fauna come into close contact with man-made processes. Yet water temperature monitoring of these coastal environments is usually spatially sparse due to the cost of acquiring, deploying and maintaining buoys. In this paper we introduce micro tomography: using precise time-of-flight calculations for acoustic signals sent over short distances (50 m) to measure water temperature. The traditional use of the technology is to construct low resolution temperature and current maps of large bodies of water useful for global climate study, however here we apply the key concepts to a sensor network to enable real-time monitoring of water temperature while also improving the spatial resolution of the data. As we use time-of-flight measurements to accomplish our goal, high precision and tight time synchronization are required of the network in order to produce meaningful temperature maps. On the other hand, the reduced scale introduces a new opportunity to utilize the technology to sense even the slightest change in temperature. To show our system is realizable we present our prototype underwater acoustic sensor nodes and experimental results that indicates a temperature resolution of approximately one-tenth of a degree Celsius. We also present our micro-tomography simulation software. With the simulator we can study the feasibility of building a more complex marina-scale tomography system and the requirements that must be met by the underlying sensor network.","PeriodicalId":133514,"journal":{"name":"2011 31st International Conference on Distributed Computing Systems Workshops","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131379144","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

A Provenance Based Mechanism to Identify Malicious Packet Dropping Adversaries in Sensor Networks 传感器网络中基于来源的恶意丢包识别机制

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.54

Salmin Sultana, E. Bertino, Mohamed Shehab

{"title":"A Provenance Based Mechanism to Identify Malicious Packet Dropping Adversaries in Sensor Networks","authors":"Salmin Sultana, E. Bertino, Mohamed Shehab","doi":"10.1109/ICDCSW.2011.54","DOIUrl":"https://doi.org/10.1109/ICDCSW.2011.54","url":null,"abstract":"Malicious packet dropping attack is a major security threat to the data traffic in the sensor network, since it reduces the legal network throughput and may hinder the propagation of sensitive data. Dealing with this attack is challenging since the unreliable wireless communication feature and resource constraints of the sensor network may cause communication failure and mislead to the incorrect decision about the presence of such attack. In this paper, we propose a data provenance based mechanism to detect the attack and identify the source of attack i.e. the malicious node. For this purpose, we utilize the characteristics of the watermarking based secure provenance transmission mechanism that we proposed earlier and rely on the inter-packet timing characteristics after the provenance embedding. The scheme consists of three phases (i) Packet Loss Detection (ii) Identification of Attack Presence (iii) Localizing the Malicious Node/Link. The packet loss is detected based on the distribution of the inter-packet delays. The presence of the attack is determined by comparing the empricial average packet loss rate with the natural packet loss rate of the data flow path. To isolate the malicious link, we transmit more provenance information along with the sensor data. We present the experimental results to show the high detection accuracy and energy efficiency of the proposed scheme.","PeriodicalId":133514,"journal":{"name":"2011 31st International Conference on Distributed Computing Systems Workshops","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116414586","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: 76

On Guided Navigation in Target Tracking Sensor Networks Using Alpha-Beta Filters 基于Alpha-Beta滤波器的目标跟踪传感器网络制导导航研究

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.60

Surendra Sharma, Sarang Deshpande, K. Sivalingam

引用次数: 6

Towards Optimal Data Replication Across Data Centers 实现跨数据中心的最佳数据复制

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.49

Fan Ping, Xiaohu Li, Christopher McConnell, Rohini Vabbalareddy, Jeong-Hyon Hwang

引用次数: 14

Predict Energy Consumption of Trigger-Driven Sensor Network by Markov Chains 基于马尔可夫链的触发驱动传感器网络能耗预测

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.12

W. Zha, W. Ng

引用次数: 2

Privacy-Aware BedTree Based Solution for Fuzzy Multi-keyword Search over Encrypted Data 基于隐私感知床树的加密数据模糊多关键字搜索解决方案

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.11

M. Chuah, Wei Hu

{"title":"Privacy-Aware BedTree Based Solution for Fuzzy Multi-keyword Search over Encrypted Data","authors":"M. Chuah, Wei Hu","doi":"10.1109/ICDCSW.2011.11","DOIUrl":"https://doi.org/10.1109/ICDCSW.2011.11","url":null,"abstract":"As Cloud Computing technology becomes more mature, many organizations and individuals are interested in storing more sensitive data e.g. personal health records, customers related information in the cloud. Such sensitive data needs to be encrypted before it is outsourced to the cloud. Typically, the cloud servers also need to support a keyword search feature for these encrypted files. Traditional searchable encryption schemes typically only support exact keyword matches. However, users sometimes have typos or use slightly different formats e.g. \"data-mining\" versus \"data mining\". Thus, fuzzy keyword search is a useful feature to have. Recently, some researchers propose using wild card based approach to provide fuzzy keyword search. They also propose a solution for multi-keyword search. Their approaches have some limitations, namely (a) their fuzzy keyword search solution consumes large storage size since it inserts every fuzzy keyword as a leaf node in the index tree, (b) their fuzzy single-keyword search solution does not support multi-keyword search, (c) the existing multi-keyword search scheme does not provide efficient incremental updates. In this paper, we propose a privacy-aware bed tree based approach to support fuzzy multi-keyword feature. Incremental updates can be easily done using our solution. We have implemented our solution. Our evaluation results show that our approach is more cost-effective in terms of storage size and construction time. Our search time is usually better than the wild card approach for multi-keyword queries where many encrypted files are returned using single-word queries for approaches that do not support multi-keyword queries.","PeriodicalId":133514,"journal":{"name":"2011 31st International Conference on Distributed Computing Systems Workshops","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133041678","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: 129

Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior 在干草堆中找到“膝盖”:检测系统行为中的膝盖点

2011 31st International Conference on Distributed Computing Systems Workshops Pub Date : 2011-06-20 DOI: 10.1109/ICDCSW.2011.20

Ville A. Satopaa, Jeannie R. Albrecht, David E. Irwin, B. Raghavan

引用次数: 676