2019 11th International Conference on Communication Systems & Networks (COMSNETS)最新文献

Energy Efficient Channel State Classification for Lifetime Enhancement of LPWA Networks 面向低功耗广域网寿命增强的高效信道状态分类

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-07 DOI: 10.1109/COMSNETS.2019.8711438

Chhayarith Heng Uy, C. Bernier, S. Charbonnier

引用次数: 1

Power Optimization using Spectrum Sharing for Next Generation Cellular Networks 基于频谱共享的下一代蜂窝网络功率优化

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711197

Haneet Kour, R. Jha

{"title":"Power Optimization using Spectrum Sharing for Next Generation Cellular Networks","authors":"Haneet Kour, R. Jha","doi":"10.1109/COMSNETS.2019.8711197","DOIUrl":"https://doi.org/10.1109/COMSNETS.2019.8711197","url":null,"abstract":"The rapid increase in the number of subscribers demanding high data rate applications have resulted in maturing of the 4G networks. The next generation (5G) wireless communication networks (WCN’s) are required to fulfill these rising requirements, hence aiming to utilize the available spectrum as efficiently as possible. Also this is leading to a detrimental effect on the ecological balance of the environment as the transmit power levels increase correspondingly in the atmosphere. Hence power optimization has also become a major concern. Various technologies such as massive MIMO, spectrum sharing, device to device communication (D2D), GREEN communication have gained significant attention in aiding spectrum utilization along with power optimization. This proposal intends to optimize power using spectrum sharing for the NGN’s to achieve high spectrum and energy efficiency for both the primary and secondary system without introduction of a secondary transmitter. The performance of the proposed model has been compared with the opportunistic spectrum sharing model and other popular resource allocation algorithms. The results obtained confirm the efficiency of the proposed scheme for increased performance of the system.","PeriodicalId":112866,"journal":{"name":"2019 11th International Conference on Communication Systems & Networks (COMSNETS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124430951","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

RSS Characterization in Wireless Heterogeneous Network 无线异构网络中的RSS特性

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711245

R. Mishra, Rahul Agrahari

{"title":"RSS Characterization in Wireless Heterogeneous Network","authors":"R. Mishra, Rahul Agrahari","doi":"10.1109/COMSNETS.2019.8711245","DOIUrl":"https://doi.org/10.1109/COMSNETS.2019.8711245","url":null,"abstract":"Increasing number of connected devices and the volume of data generated by these devices pushing current generation of cellular network to their limits. Cross layer designs (CLD) are recommended for the designing a better performing network applications. 5G standard for next generation network includes the provisions for CLD within the standard itself to cater resource demand from such devices. 5G along with its predecessors is going to coexist providing a heterogeneous connectivity for a user. Irrespective of generation, radio access network (RAN) still remained a bottleneck and drastically affects the performance. Signal strength is a metric for RAN which is used in several decisions and is an important parameter for CLD. In simulation of CLD signal strength is modeled using established path loss and fading models wherein distance is the only variable, similarly, noise is modeled as a Gaussian distribution. Thus, with static user received signal strength (RSS) appears as Gaussian distribution but in reality the RSS is non-uniform with sharp peaks and long tail. Simulation with incorrect models result into solutions that lag far apart in performance than the actual outcomes, hence, correct modeling of RSS is a decisive factor. In this empirical study data collected for RSS using NeSen App by colocated multiple smartphones. This study proves that RSS recorded follows t-Distribution with mean between [-71, -77]dbm, standard deviation between [3.75, 4.85] and degree of freedom in range of [6.8, 10.5].","PeriodicalId":112866,"journal":{"name":"2019 11th International Conference on Communication Systems & Networks (COMSNETS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114651808","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

LTE–Wi-Fi Radio Level Integration at RLC Layer: A Demo of LWIR RLC层的LTE-Wi-Fi无线电级集成:LWIR演示

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711282

Thomas Valerrian Pasca Santhappan, Himank Gupta, Sumanta Patro, T. B. Reddy, A. Franklin

引用次数: 0

Invited Paper: Thoreau: A fully-buried wireless underground sensor network in an urban environment 特邀论文:Thoreau:城市环境中的全埋式无线地下传感器网络

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711266

Xufeng Zhang, A. Andreyev, C. Zumpf, M. Negri, S. Guha, M. Ghosh

引用次数: 8

Optimized Adaptive Streaming with Intelligent Network Awareness 具有智能网络感知的优化自适应流

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711464

Prasenjit Chakraborty, Shweta Aggarwal, Om Prakash

引用次数: 0

An Exploratory Analysis on Data Features and Analysis Techniques in Social Networks. 社会网络数据特征与分析技术的探索性分析

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711472

U. Tanuja, H. L. Gururaj, V. Janhavi

引用次数: 6

An optimal multi-channel coordination scheme for IEEE 802.11p based Vehicular Adhoc Networks (VANETs) 基于IEEE 802.11p的车辆自组网(vanet)多通道协调优化方案

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/comsnets.2019.8711452

A. Justin Gopinath, B. Nithya

引用次数: 4

Activity Recognition through Feature Learning and Annotations using LSTM 基于LSTM的特征学习和注释的活动识别

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711147

Nilotpola Sarma, Suchetana Chakraborty, D. Banerjee

引用次数: 7

Raw Data Processing Framework for IoT 物联网的原始数据处理框架

2019 11th International Conference on Communication Systems & Networks (COMSNETS) Pub Date : 2019-01-01 DOI: 10.1109/COMSNETS.2019.8711408

Mayank Patel, Minal Bhise

{"title":"Raw Data Processing Framework for IoT","authors":"Mayank Patel, Minal Bhise","doi":"10.1109/COMSNETS.2019.8711408","DOIUrl":"https://doi.org/10.1109/COMSNETS.2019.8711408","url":null,"abstract":"The Internet of Things IoT sensors continuously generate large amount of data. Storing and managing the streaming IoT sensor data is a great challenge. IoT applications require real-time analytical query processing on stored data. To make any IoT data queriable, it needs to be loaded into any database management system traditionally. Where the high data insertion time DIT becomes the first bottle-neck. Storing data in its raw format is the most convenient solution for scientific experiments and variety of other applications where high data velocity and unknown or varying schemas exist in the approaching data. Therefore raw data storage and management techniques need to be explored to utilize very low DIT for handling streaming IoT data. Most of the work with raw data processing is dealing with the static data and how to improve query performance on the stored data. This work tries to explore possibilities in applying raw data processing technique to streaming IoT sensor data. A Raw data processing framework is proposed to handle the streaming IoT sensor data. The work tries to exploit the open source system setup to handle the streaming data. The experimental setup consists of PostgresRAW PgRAW a first mature NoDB system. Results of PgRAW shown 99.5% improvement in DIT as compared to PostgreSQL PgSQL. While the query execution time QET performance improved by 57% over the data scaling experiment from 1M to 4M for PgRAW over PgSQL.","PeriodicalId":112866,"journal":{"name":"2019 11th International Conference on Communication Systems & Networks (COMSNETS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053078","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: 6