2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)最新文献_第3页

A new autonomous data transmission reduction method for wireless sensors networks 一种新的无线传感器网络自主数据传输缩减方法

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371030

Gaby Bou Tayeh, A. Makhoul, J. Demerjian, David Laiymani

{"title":"A new autonomous data transmission reduction method for wireless sensors networks","authors":"Gaby Bou Tayeh, A. Makhoul, J. Demerjian, David Laiymani","doi":"10.1109/MENACOMM.2018.8371030","DOIUrl":"https://doi.org/10.1109/MENACOMM.2018.8371030","url":null,"abstract":"The inherent limitation in energy resources and computational power for sensor nodes in a Wireless Sensor Network, poses the challenge of extending the lifetime of these networks. Since radio communication is the dominant energy consuming activity, most presented approaches focused on reducing the number of data transmitted to the central workstation. This can be achieved by deploying both on the workstation and the sensor node a synchronized prediction model capable of forecasting future values. Thus, enabling the sensor node to transmit only the values that surpasses a predefined error threshold. This mechanism offers a decrease in the cost of transmission energy for a price of an increase in the cost of computational energy. Therefore, finding the right tradeoff between complexity and efficiency is very important to achieve optimal results. In this paper, we present a novel data reduction method that outperforms other state of the art data reduction approaches. We demonstrated the efficiency of our algorithm using simulation on real-world data sets collected at our laboratory. The obtained results show that our method was able to achieve a data suppression ratio ranging between 93.2% and 99.8%.","PeriodicalId":398620,"journal":{"name":"2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121251348","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: 14

Survey: When semantics meet crowdsourcing to enhance big data variety 调查:当语义与众包结合，增强大数据多样性

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371011

Houssein Dhayne, R. Kilany, M. Sokhn

{"title":"Survey: When semantics meet crowdsourcing to enhance big data variety","authors":"Houssein Dhayne, R. Kilany, M. Sokhn","doi":"10.1109/MENACOMM.2018.8371011","DOIUrl":"https://doi.org/10.1109/MENACOMM.2018.8371011","url":null,"abstract":"With the rapid growth of collected data and the variety of its content, the need for efficient integration at a Big Data level becomes crucial. Semantic technologies, as a means of integration and coordination of heterogeneous systems, may help big data to manage terminology and relationships to link various data from different data sources. However, and due to the difficulty of integration and analytics of some datasets with high-precision, automated processes cannot reach a high level of accuracy without the human cognitive ability. Crowdsourcing platforms have the potential to integrate (entity matching, entity resolution) and analyze (sentiment analysis, image recognition) heterogeneous data sources when in some cases these integration tasks may prove to be problematic for computers. In this survey, we explore and compare empirical research studies that rely on merging semantic and crowdsourcing technologies. And, in the light of this comparison, we propose a high-level integration workflow, which shows how merging these technologies can enhance the big data integration process and tackle the data analysis challenges.","PeriodicalId":398620,"journal":{"name":"2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)","volume":"2 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126184272","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: 2

Cross entropy algorithm for improved soft fusion-based cooperative spectrum sensing in cognitive radio networks 认知无线电网络中改进的基于软融合的协同频谱感知交叉熵算法

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371020

Ayman A. El-Saleh, M. Albreem, Tauseef Rasheq Ahad, Waziha Raquib

引用次数: 2

Home energy management system considering modular and deferrable electric loads under time-variable pricing scheme 时变电价下考虑模块化和可延迟电力负荷的家庭能源管理系统

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371044

S. A. Zahr

{"title":"Home energy management system considering modular and deferrable electric loads under time-variable pricing scheme","authors":"S. A. Zahr","doi":"10.1109/MENACOMM.2018.8371044","DOIUrl":"https://doi.org/10.1109/MENACOMM.2018.8371044","url":null,"abstract":"Along with the growing penetration of renewable energy sources, demand side management (DSM) is becoming a key component of future energy systems such as smart grids. DSM aims at balancing the demand for power with intermittent renewable energy sources such as wind and solar units. DSM deploys various mechanisms to influence customer's capability and willingness to modify their power consumption according to the utility's energy production and the distribution capacity. DSM aims at either saving energy in sustainable manner (i.e. energy response) or/and shifting the time of energy use to off-peak hours (i.e. demand response). Indeed, DSM does not necessarily reduce the total customer's power consumption but reshapes consumption patterns. Hence, DSM is expected to reduce the need for investments in networks and power plants in order to meet peak demands. In this paper, we propose an advanced demand response (DR) solution for individual households. Considering a household equipped with various domestic loads, we aim at optimally scheduling the day-ahead power consumption under timevariable rates while taking advantage of modular and deferrable loads, e.g. electric vehicle. Our proposal is numerically illustrated through real-life scenarios, elaborated using an existing simulator of human behavior regarding power consumption.","PeriodicalId":398620,"journal":{"name":"2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134436656","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

Intelligent eye: A mobile application for assisting blind people 智能眼:一款帮助盲人的移动应用程序

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371005

Milios Awad, J. Haddad, Edgar Khneisser, Tarek Mahmoud, E. Yaacoub, M. Malli

引用次数: 27

On blockchain security and relevant attacks 关于区块链安全及相关攻击

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371010

Joanna Moubarak, E. Filiol, M. Chamoun

引用次数: 77

FSO cooperative all-active and selective relaying schemes with backup RF antennas 带备用射频天线的FSO合作全有源选择性中继方案

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371039

Mustapha Hamad, C. Abou-Rjeily

引用次数: 4

Distributed Data Aggregation based Modified K-means technique for energy conservation in periodic wireless sensor networks 基于分布式数据聚合的改进K-means周期性无线传感器网络节能技术

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371007

A. Idrees, W. L. Al-Yaseen, M. A. Taam, O. Zahwe

{"title":"Distributed Data Aggregation based Modified K-means technique for energy conservation in periodic wireless sensor networks","authors":"A. Idrees, W. L. Al-Yaseen, M. A. Taam, O. Zahwe","doi":"10.1109/MENACOMM.2018.8371007","DOIUrl":"https://doi.org/10.1109/MENACOMM.2018.8371007","url":null,"abstract":"One of the big data provider in the future of the Internet of Things (IoT) is the Periodic Wireless Sensor Networks (PWSNs) because of the widespread use of this type of networks in various real life applications. The amount of data clearly grows at an unexpected rate. The high-density deployment of the sensor nodes will lead to high data redundancy in the collected readings of the sensor nodes. An energy-saving data aggregation may be an essential way to remove the data redundancy. In this article, we propose a Distributed Data Aggregation based Modified K-means (DiDAMoK) Technique for enhancement the lifetime of the PWSNs. DiDAMoK is distributed inside each sensor node. It works into periods. Each period is composed of three stages. First, the sensor readings are collected and saved in the sensor node. Second, the modified K-means is employed on these readings to convert them into clusters of readings. The number of clusters is dynamic and depends on the nature of collected readings. In the third stage, One representative reading of each cluster will be transmitted to the sink. The performance of the DiDAMoK technique is evaluated using OMNeT++ network simulator and based on real sensed data of a WSN. Simulation results explain that our DiDAMoK technique can efficiently decrease the consumed energy of the whole PWSN due to reducing the sensed readings number transmitted to the sink node while keeping a suitable data accuracy at the sink.","PeriodicalId":398620,"journal":{"name":"2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907807","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: 30

Combining compression and clustering techniques to handle big data collected in sensor networks 结合压缩和聚类技术处理传感器网络中的大数据

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-18 DOI: 10.1109/MENACOMM.2018.8371009

Hassan Harb, C. A. Jaoude

引用次数: 6

Enabling and deploying long-range IoT image sensors with LoRa technology 使用LoRa技术启用和部署远程物联网图像传感器

2018 IEEE Middle East and North Africa Communications Conference (MENACOMM) Pub Date : 2018-04-01 DOI: 10.1109/MENACOMM.2018.8371038

C. Pham

引用次数: 4