2010 7th IEEE Consumer Communications and Networking Conference最新文献

{"title":"Attaching the Value of Sensorial Experience to Pervasive Multimedia Applications","authors":"A. Hornsby, R. Walsh","doi":"10.1109/CCNC.2010.5421685","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421685","url":null,"abstract":"We use sensory data to improve and make multimedia applications pervasive. The learning cycle is used as a centrepiece from which the user experience is derived and higher-level knowledge understood. We propose an architecture by which this sensorial experience can be presented to users, creating immersion and continuity. I. BUILDING UP THE EXPERIENCE he ability to understand and also to empathize or interact with a user requires access to the deeper levels of the user's emotions and expressions. By understanding people’s feelings, dreams and thoughts, we can create a truly interactive conversation with them. However, an experience is never static; on the contrary, it evolves. To gather knowledge on these subjects we need to record data from sensors at the place and time of their occurrence. Sanders [1] and Cain [2] suggest learning from people – summarized by figure 1. Listening to what people say and think provides us with an explicit knowledge (beyond what they express in words). Watching what people do and seeing what they use provides us with observable knowledge. Understanding what people think, know and dream provides us with tacit knowledge (knowledge that can’t be expressed in words). This information can show us how a person envisions a better future through expressed latent needs (only satisfiable in the future). Figure 1. Three levels of knowledge extraction from observing human actions Kolb [3] associates human experience with the learning process. He suggests there are four stages following one another (figure 2): the Concrete Experience; followed by Reflection on that experience; with Abstract Conceptualization then deriving social judgment to describe the experience; leading to ways of modifying the next experience called Active Experimentation, that feeds the next Concrete Experience. This recursive experiencing may happen very fast or over longer periods, depending on the case. II.FROM SENSING TO EXPERIENCING A. The Notion of Sensing Aristotle defined the traditional five human senses as sight, hearing, touch, smell and taste [4]. Humans have six additional senses, namely pain (nociception), balance (equilibrioception), joint motion and acceleration (proprioception & kinesthesia), sense of time, sense of temperature differences (thermoception), and the sense of direction (magnetoception) [5]. All those senses actively participate in the creation of the user experience. Therefore, when designing application for the end-user, it is crucial to record the sensed aspects of the experience, with samples of the before, during and after, regardless of the physical setting of the observed experience. B. Raw Sensing and Mobile Devices To record the physical aspects of a user experience – such as ambient sounds, people presence and location – physical sensors are necessary. To achieve this regardless of the physical setting, a pervasive approach must be taken. Mobile devices (such as cellular phones) have become an important piece in ubiqu","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123336437","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}

{"title":"Using Pareto Principle to Improve Efficiency for Selection of Qos Web Services","authors":"Lican Huang, Jianfeng Nie","doi":"10.1109/CCNC.2010.5421583","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421583","url":null,"abstract":"With the rapid increase of Web services, we can have a chance to select the best Qos Web Service among multiple candidate Web Services with the same semantic functions. To obtain the best Qos Web Service, a huge amount of computations on all the candidate Web Services are required to computed. This will lead to less efficiency. To improve selection performance, we use Pareto Principle to calculate only small part of Web Services.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119674","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}

{"title":"Movement Prediction in Wireless Networks Using Mobility Traces","authors":"P. S. Prasad, P. Agrawal","doi":"10.1109/CCNC.2010.5421613","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421613","url":null,"abstract":"Wireless user-mobility prediction has been investigated from various angles to improve network performance. Student populations in campuses, pedestrian and vehicular movement in urban areas, etc have been studied by cell phone and mobility management researchers to address issues in Quality of Service (QoS), seamless session handoffs, etc. Access to information such as user movement times, direction, speed, etc provides an opportunity for networks to efficiently manage resources to satisfy user needs. \u0000 \u0000Towards this goal, we propose a generic framework to approach the problem of mobility prediction using Hidden Markov Models (HMM). This method can be used to modd hidden parameters in the models. We propose a way to extract user movement information from a real dataset, train a HMM using this data and make predictions using the HMM. This model can successfully predict long sequences of a mobile user's path from observed sequences and also uses successive sequences of observed data to train its learning parameters to enhance prediction accuracy. Furthermore, we show that this model is very generic and can be suited to make predictions using the same information from the perspective of the access point or the mobile node.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115413539","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}

{"title":"Self-Configuration of Neighbor Cell List Utilizing E-UTRAN NodeB Scanning in LTE Systems","authors":"Dooyoung Kim, Bongjhin Shin, Daehyoung Hong, Jaechan Lim","doi":"10.1109/CCNC.2010.5421822","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421822","url":null,"abstract":"This paper provides a scheme for self-configuration of a neighbor cell list (NCL) in long term evolution (LTE) systems. Especially, an initial NCL configuration scheme is proposed. In traditional systems, a system operator manually determmes NCL and uploads it into a base station, which is not efficient in many respects. By utilizing E-UTRAN NodeB (eNB) scanning, initial NCL can be autonomously generated reflecting the real radio environment. We also investigate the effect of \"the neighbor cell decision threshold\" and \"cell types\" on the NCL configuration performance. Simulation results show that the proposed approach is an effective and feasible solution for self-configuration of the initial NCL in mb:ed self-organizing networks.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123096453","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}

{"title":"A Component Framework for Telecare and Home Automation","authors":"Claire Maternaghan, K. Turner","doi":"10.1109/CCNC.2010.5421582","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421582","url":null,"abstract":"Many sensors, appliances and smart devices for within the home are becoming readily available to the general public. These can not only enhance everyday living but also allow people requiring care to stay in the comfort of their own homes for longer. Users need to be provided with the ability to easily customise their home and the devices within it. A Service Component Architecture is described for representing various services within a home environment. The resulting system has a simple plug-and-play mechanism for easy addition and integration of a range of components. A collection of services is presented using both off-the-shelf and novel components.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123158213","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}

{"title":"Tree-Based Minimization of TCAM Entries for Packet Classification","authors":"Yan Sun, Min Sik Kim","doi":"10.1109/CCNC.2010.5421589","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421589","url":null,"abstract":"Packet classification is a fundamental task for network devices such as edge routers, firewalls, and intrusion detection systems. Currently, most vendors use Ternary Content Addressable Memories (TCAMs) to achieve high-performance packet classification. TCAMs use parallel hardware to check all rules simultaneously. Despite their high speed, TCAMs have a fundamental in dealing with ranges efficiently. Many packet classification rules contain range specifications, each of which needs to be translated into multiple prefixes to store in TCAMs. Such translation may result in an explosive increase in the number of required TCAM entries. In this paper, we propose a redundancy removal algorithm using a tree representation of rules. The proposed algorithm removes redundant rules and combines overlaying rules to build an equivalent, smaller rule set for a given packet classifier. This equivalent transformation can significantly reduce the number of required TCAM entries. Our experiments show a reduction of 70.9% in the number of TCAM entries. Besides, our algorithm eliminates requirement of priority encoder circuits. It can also be used as a preprocessor, in tandem with other methods, to achieve further performance imrpovement.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124834906","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}

{"title":"Multi-Hop Broadcasting in Vehicular Ad Hoc Networks with Shockwave Traffic","authors":"Rex Chen, W. Jin, A. Regan","doi":"10.1109/CCNC.2010.5421584","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421584","url":null,"abstract":"A primary goal of intelligent transportation systems (ITS) is to improve road safety. The ability for vehicles to communicate is a promising way to alleviate traffic accidents by reducing the response time associated with human reaction to nearby drivers. In addition the limitations of standard driving can be overcome by providing drivers with instantaneous information about complications up ahead. Shockwaves, induced by vehicle speed differentials, are a typical mobility pattern that occurs with the formation and propagation of vehicle queues. These induce sudden braking and increase the occurrence of traffic incidents. In this paper, we investigate safety applications in highways with shockwave mobility and different lane configurations in vehicular ad hoc networks (VANET). We evaluate the performance of multi-hop broadcast communication using the ns-2 simulator with vehicles following a shockwave mobility pattern in fully-connected traffic streams. We propose mechanism to improve broadcast reliability using dynamic transmission range that leverages our understanding of fundamental traffic flow relationships.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123435163","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}

{"title":"CogSeNet: A Concept of Cognitive Wireless Sensor Network","authors":"H. Goh, K. Kwong, Chong Shen, W. Michie, Ivan Andonovic","doi":"10.1109/CCNC.2010.5421630","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421630","url":null,"abstract":"Cognitive Sensor Network (CogSeNet) is an intelligent based wireless sensor network system which relies on cognitive processes to provide a dynamic capability in configuring wireless sensor network. CogSeNet is a network structure formed by sensor nodes equipped with cognitive modules allowing them to observe their operating environment and allowing a decision can be derived. A series of actions result so that the nodes can adapt and achieve certain goals by an overall policy. These goals can be as simple as to provide robust connectivity or as complex as negotiate additional resources from neighbouring network groups to forward mission-critical data. In this paper, the concept of cognitive sensor network is reviewed and a preliminary case study is illustrated.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"309 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983278","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}

{"title":"Experimental Analysis of Interference in Dual-Radio Wireless Sensor Networks","authors":"JongWon Kim, Yeonsik Jeong, Seung-Jae Han","doi":"10.1109/CCNC.2010.5421757","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421757","url":null,"abstract":"For large-scale Wireless Sensor Networks(WSNs), cluster-based architecture is desirable. Conventional short range sensor radio, however, is often inefficient for the inter-cluster communication due to the large distance between cluster heads. One solution is to use a longer range radio for inter-cluster head communication. In this paper, we consider a dual-radio cluster head with IEEE 802.15.4 and IEEE 802.11b. A key issue is that 802.15.4 and 802.11b use the same frequency band at 2.4 GHz, so that they can potentially interfere with each other. We analyze this interference behavior via testbed experiments. Our results indicate that with a simple relaying mechanism, interference was quite high even when orthogonal channels are used for two radios. This strongly suggests the need of smarter relaying mechanisms.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426032","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}

{"title":"Multi-User Signal Classification via Spectral Correlation","authors":"S. Hong, E. Like, Zhiqiang Wu, Cem Tekin","doi":"10.1109/CCNC.2010.5421830","DOIUrl":"https://doi.org/10.1109/CCNC.2010.5421830","url":null,"abstract":"With the proliferation of wireless devices being used, the RF spectrum's capacity continues to dwindle. In recent years, a new technology called Cognitive Radio has been advocated to solve the impending spectral drought. The premise of Cognitive Radio is that it can modify its signal to either avoid currently occupied frequency bands or alter its transmission parameters so as to cohabit the frequency band without interfering with the primary user. However, if the widespread use of Cognitive Radios and Dynamic Access Networks becomes a reality, it would enable multiple users to occupy the same frequency band. There have yet to be any works published regarding how to classify the signals of multiple users, a barrier which will have great implications in the future use of Cognitive Radio. In addition to future commercial applications for multi- user signal classification, there is currently a need for this technology in the military. Military communication devices are used in scenarios where the RF spectrum is filled with jamming and interference from enemies. A method to detect and classify what signals are being used to jam and interfere would solve a significant roadblock for the military. Cyclic spectral analysis has proven to be a key tool in Cognitive Radios, giving them the ability to determine the parameters of the present signal, thus being able to modify its own transmission accordingly. Using this analysis as a foundation, we revisit the signal classification problem and propose a novel multi-user signal classification scheme using spectral correlation.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121877962","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}