2017 International Conference on Computing, Networking and Communications (ICNC)最新文献

A game-theoretic analysis of energy-depleting jamming attacks 耗能干扰攻击的博弈论分析

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-10-23 DOI: 10.1145/3366486.3366546

Chiara Pielli, Federico Chiariotti, N. Laurenti, A. Zanella, M. Zorzi

引用次数: 16

Overlapping user grouping in IoT oriented massive MIMO systems 面向物联网的大规模MIMO系统中的重叠用户分组

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-07-20 DOI: 10.1109/ICCNC.2017.7876135

Run Tian, Yuan Liang, Xuezhi Tan, Tongtong Li

{"title":"Overlapping user grouping in IoT oriented massive MIMO systems","authors":"Run Tian, Yuan Liang, Xuezhi Tan, Tongtong Li","doi":"10.1109/ICCNC.2017.7876135","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876135","url":null,"abstract":"This paper considers capacity and quality of service improvement in Internet of Things (IoT) oriented massive MIMO systems through overlapping user grouping. In massive MIMO systems, user selection and grouping are generally used to reduce multiuser interference. In existing approaches, users with less favorable channel conditions are generally dropped for capacity optimization. As a result, some users would never be served by the system in IoT networks. Moreover, user subgroups are generally non-overlapping, leading to unnecessary resource waste. Motivated by these observations, in this paper, we propose two new user grouping approaches. First, we propose a new user grouping method based on greedy algorithm by allowing overlapping between the selected subgroups. Second, we introduce a new channel similarity measure, and develop another overlapping user grouping method by exploiting the spectral clustering method in machine learning. It is observed that the proposed approaches can increase the system capacity through subgroup overlapping, and can ensure that each user will be served in at least one subgroup.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126498953","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: 21

Social factors for data sparsity problem of trust models in MANETs manet中信任模型数据稀疏性问题的社会因素

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-13 DOI: 10.1109/ICCNC.2017.7876247

A. Shabut, K. Dahal

{"title":"Social factors for data sparsity problem of trust models in MANETs","authors":"A. Shabut, K. Dahal","doi":"10.1109/ICCNC.2017.7876247","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876247","url":null,"abstract":"The use of recommendation in trust-based models has its advantages in enhancing the correctness and quality of the rating provided by mobile and autonomous nodes in MANETs. However, building a trust model with a recommender system in dynamic and distributed networks is a challenging problem due to the risk of dishonest recommendations. Dealing with dishonest recommendations can result in the additional problem of data sparsity, which is related to the availability of information in the early rounds of the network time or when nodes are inactive in providing recommendations. This paper investigates the problems of data sparsity and cold start of recommender systems in existing trust models. It proposes a recommender system with clustering technique to dynamically seek similar recommendations based on a certain timeframe. Similarity between different nodes is evaluated based on important attributes includes use of interactions, compatibility of information and closeness between the mobile nodes. The recommender system is empirically tested and empirical analysis demonstrates robustness in alleviating the problems of data sparsity and cold start of recommender systems in a dynamic MANET environment.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130732933","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

Towards zero packet loss with LISP Mobile Node 用LISP移动节点实现零丢包

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-13 DOI: 10.1109/ICCNC.2017.7876137

Musab Isah, Steven Simpson, Yusuf Sani, C. Edwards

{"title":"Towards zero packet loss with LISP Mobile Node","authors":"Musab Isah, Steven Simpson, Yusuf Sani, C. Edwards","doi":"10.1109/ICCNC.2017.7876137","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876137","url":null,"abstract":"Host mobility protocols such as Locator-Identifier Separation Protocol Mobile Node (LISP-MN) are known to experience packet loss at the point of handover. For the duration of the handover, packets sent to the MN via the old access link are dropped by the router since it has no way of knowing where the device has moved to. This affects the performance of transport layer protocols of the TCP/IP stack, which results in degradation of network performance. Buffering these packets close to the MN's new location and forwarding them to the MN on handover completion is one way of improving the overall performance of the mobility protocol. Hence, we introduce a novel network node, loc-server, to buffer these packets in order to mitigate the packet loss and reduce the service disruption time (SDT) experienced by MNs during handovers. Using a laboratory testbed implementation, LISP-MN with loc-server support shows significant reduction in packet loss and reduced SDT in comparison to vanilla LISP-MN. Similarly, performance analysis of DASH video player also shows the new architecture helps in improving the average video quality downloaded by the MN and reduces the player's instability.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885587","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 lightweight network anomaly detection technique 一个轻量级的网络异常检测技术

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-10 DOI: 10.1109/ICCNC.2017.7876251

Jinoh Kim, Wucherl Yoo, A. Sim, S. Suh, Ikkyun Kim

引用次数: 8

An approach to online network monitoring using clustered patterns 一种使用集群模式进行在线网络监控的方法

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-10 DOI: 10.1109/ICCNC.2017.7876207

Jinoh Kim, A. Sim, S. Suh, Ikkyun Kim

引用次数: 8

MobiBone: An energy-efficient and adaptive network protocol to support short rendezvous between static and mobile wireless sensor nodes MobiBone:一种节能的自适应网络协议，支持静态和移动无线传感器节点之间的短时间会合

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-10 DOI: 10.1109/ICCNC.2017.7876275

Kui Zhang, E. D. Ayele, N. Meratnia, P. Havinga, Peng Guo, Youxin Wu

{"title":"MobiBone: An energy-efficient and adaptive network protocol to support short rendezvous between static and mobile wireless sensor nodes","authors":"Kui Zhang, E. D. Ayele, N. Meratnia, P. Havinga, Peng Guo, Youxin Wu","doi":"10.1109/ICCNC.2017.7876275","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876275","url":null,"abstract":"To ensure long network life-time, the duty-cycle of wireless sensor networks is often set to be low. This brings with itself the risk of either missing a sent packet or delaying the message delivery and dissemination depending on the duration of the duty-cycle and number of hops. This risk is increased in wireless sensor applications with hybrid architecture, in which a static ground wireless sensor network interacts with a network of mobile sensor nodes. Dynamicity and mobility of mobile nodes may lead to only a short rendezvous between them and the backbone network to exchange data. Additionally, such dynamicity generates complex and often random data traffic patterns. To support successful data delivery in case of short rendezvous between static and mobile wireless sensor nodes, we propose MobiBone, an energy-efficient and adaptive network protocol that utilizes data packet traffic to characterize the sleep schedule. Our simulation results show that compared with network protocols with fixed duty-cycles, MobiBone offers a good trade-off between energy consumption, latency, and detection rate of mobile nodes (which indicates awakens of the backbone network at crucial times of mobile node presence).","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125161715","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

Capacity gains of buffer-aided moving relays 缓冲辅助移动继电器的容量增益

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-10 DOI: 10.1109/ICCNC.2017.7876103

Ammar Zafar, M. Shaqfeh, H. Alnuweiri, Mohamed-Slim Alouini

引用次数: 2

An enhanced MMSE subchannel decision feedback equalizer with ICI suppression for FBMC/OQAM systems FBMC/OQAM系统中带有ICI抑制的增强型MMSE子信道决策反馈均衡器

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-03-10 DOI: 10.1109/ICCNC.2017.7876278

Chih-Wei Chen, F. Maehara

引用次数: 15

Short term power load forecasting using Deep Neural Networks 基于深度神经网络的短期电力负荷预测

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2017-01-26 DOI: 10.1109/ICCNC.2017.7876196

Ghulam Mohi Ud Din, Angelos K. Marnerides

{"title":"Short term power load forecasting using Deep Neural Networks","authors":"Ghulam Mohi Ud Din, Angelos K. Marnerides","doi":"10.1109/ICCNC.2017.7876196","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876196","url":null,"abstract":"Accurate load forecasting greatly influences the planning processes undertaken in operation centres of energy providers that relate to the actual electricity generation, distribution, system maintenance as well as electricity pricing. This paper exploits the applicability of and compares the performance of the Feed-forward Deep Neural Network (FF-DNN) and Recurrent Deep Neural Network (R-DNN) models on the basis of accuracy and computational performance in the context of time-wise short term forecast of electricity load. The herein proposed method is evaluated over real datasets gathered in a period of 4 years and provides forecasts on the basis of days and weeks ahead. The contribution behind this work lies with the utilisation of a time-frequency (TF) feature selection procedure from the actual “raw” dataset that aids the regression procedure initiated by the aforementioned DNNs. We show that the introduced scheme may adequately learn hidden patterns and accurately determine the short-term load consumption forecast by utilising a range of heterogeneous sources of input that relate not necessarily with the measurement of load itself but also with other parameters such as the effects of weather, time, holidays, lagged electricity load and its distribution over the period. Overall, our generated outcomes reveal that the synergistic use of TF feature analysis with DNNs enables to obtain higher accuracy by capturing dominant factors that affect electricity consumption patterns and can surely contribute significantly in next generation power systems and the recently introduced SmartGrid.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133569173","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: 113