{"title":"Multihop D2D Communication to Minimize and Balance SAR in 5G","authors":"Avirup Das, Nabanita Das","doi":"10.1109/COMSNETS48256.2020.9027453","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027453","url":null,"abstract":"To cope with the exponential growth in wireless traffic to be induced by the advancement of 5G and IoT technologies, higher frequency bands will be in use to achieve high performance. But this will enhance the associated electromagnetic field (EMF) around us and may have harmful effects on all living creatures and the environment, unless necesSARy precautionary measures are followed to limit it. In this paper, we propose an elegant method of band selection with appropriate data rate for multi-hop packet routing, to minimize and also to balance the transmission power and hence the associated EMF effect on us in terms of the Specific Absorption Rate (SAR). Theoretical analysis has been presented for linear networks that results an upper bound on the number of hops permitted for a given spectrum band. Simulation results on random networks show that the proposed technique achieves a 30 − 70% improvement in terms of SAR, compared to the conventional direct communication via base station.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100176","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":"An IoT-based System to Evaluate Indoor Air Pollutants Using Grey Relational Analysis","authors":"Krati Rastogi, Divya Lohani, D. Acharya","doi":"10.1109/COMSNETS48256.2020.9027308","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027308","url":null,"abstract":"Determination of Indoor Air Quality (IAQ) requires measurement and analysis of all the indoor air parameters. Often, the contribution of some parameters is substantial while that of others is meagre. This work aims to develop an IoT system for monitoring the concentrations of indoor air pollutants. Grey Relational Analysis (GRA) is then used to evaluate all the measured indoor air pollutants and select the ones which influence IAQ the most. The selected parameters are then used to build IAQ forecast model using Artificial Neural Networks (ANN). The accuracy of the ANN based forecast model is measured using mean absolute percentage error (MAPE) and coefficient of determination.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131494292","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}
Anurag Satpathy, M. N. Sahoo, Lipsa Chottray, B. Majhi, Ashutosh Mishra, Sambit Bakshi
{"title":"VRMap: A Cost and Time Aware Remapping of Virtual Data Centres Over a Geo-distributed Infrastructure","authors":"Anurag Satpathy, M. N. Sahoo, Lipsa Chottray, B. Majhi, Ashutosh Mishra, Sambit Bakshi","doi":"10.1109/COMSNETS48256.2020.9027406","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027406","url":null,"abstract":"A virtual data center (VDC) comprises multiple correlated virtual machines (VMs) with communication dependencies. Provisioning VDC requests across Geo-distributed data centres (DCs) offer benefits to service providers (SPs) in the form of improved revenue, enhanced performance and increased survivability. On the way to achieve such salient objectives, SPs often face the concomitant challenge of dynamic reconfiguration/remapping of multiple VDCs. Remapping VDCs introduces two arduous challenges: (A.) finding a minimum cost remap for VMs' and virtual links (VLs), (b.) migrating VMs image and memory contents across DC networks with minimum overheads and service disruption. In this paper, we propose a model called VRMap that finds an optimal remapping plan that aims to balance the remapping cost and migration overheads without compromising the service quality. VRMap makes use of genetic-metaheuristic to achieve the optimal solution. The performance of VRMap is compared with greedy and random heuristics. Simulation results show that VRMap achieves comparable performance with regards to remapping cost but attains significant gain in terms of miaration time and downtime.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134217808","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":"Reputation based Routing in MANET using Blockchain","authors":"M. Careem, A. Dutta","doi":"10.1109/COMSNETS48256.2020.9027450","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027450","url":null,"abstract":"One of the core issues in routing packets within Mobile Ad hoc Networks (MANETs) is the lack of trust and reputation of the participating nodes, which often leads to unreliable packet delivery. We use a fraction of nodes to validate routing actions taken by other nodes and leverage the distributed consensus mechanism in Blockchain networks to accrue the reputation of each node. Specifically, we employ heterogeneous difficulty for Proof of Work to represent the credibility of validation and design a scoring system to isolate malicious nodes via distributed consensus. The reputation of a node is then based on the combination of the difficulty level and the score. This reputation is incorporated in a novel routing metric to calculate the shortest, most reputed path between a source and destination node. The goal is to discourage malicious nodes by excluding those from participating in routing packets. A joint simulation of the Blockchain and routing algorithm reveal ≈12% improvement in overall packet delivery in the presence of routing attacks, compared to conventional routing algorithms in MANETs.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132544367","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":"Fountain Coding for Bootstrapping of the Blockchain","authors":"Rudrashish Pal","doi":"10.1109/COMSNETS48256.2020.9027309","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027309","url":null,"abstract":"Today's state of the art blockchains suffer from two major setbacks. The first among these, bootstrapping, is the introduction of new nodes into the peer-to-peer (P2P) network in the presence of adversarial nodes. It is crucial that new nodes are prevented from joining adversarial nodes to protect the integrity of the network. The second challenge that today's blockchains face is that of storage efficiency. Blockchains use replication to store the data (or ledger) among users. Users acting as full nodes need to store the entire ledger. As opposed to replication, coding techniques such as fountain codes can be utilised to create an efficient distributed storage system.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132635516","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":"Networked Remote Music Collaboration using Machine Learning","authors":"Nishtha Nayar, Divya Lohani","doi":"10.1109/COMSNETS48256.2020.9027481","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027481","url":null,"abstract":"Communication using mediums like video and audio are essential for a lot of professions. In this paper, interaction with real time audio transmission is looked upon using the tools provided by the domains of IoT and Machine Learning. The transport layer protocols - TCP and UDP are examined for audio transmission quality. Further, different Recurrent Neural Networks (RNN) models are examined for their efficiency in predicting music in case of loss of packets during transmission. These predictions fill in the gaps and help prevent any lag in a real time performance/jam where the loss of musical notes can be a hindrance.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772458","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}
Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak S. Naik
{"title":"Predicting Human Response in Feature Binding Experiment using EEG Data","authors":"Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak S. Naik","doi":"10.1109/COMSNETS48256.2020.9027407","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027407","url":null,"abstract":"The ability to predict future human responses via analysis of electroencephalogram (EEG) signals is an active area of research from the viewpoint of understanding human brain and behavior, brain computer interface (BCI) applications, and neuro-rehabilitation of patients suffering with neurological symptoms and disorders. In this work, we predict human responses via analysis of EEG signals of healthy young adults collected during an experiment of visual feature binding. The subjects were asked to detect changes in color-shape binding of four objects shown in two successive screens with a gap of 1500 ms. The behavioral experiment comprised 96 trials as EEG data was collected simultaneously from a 21-electrode machine. The EEG data was pre-processed and artifacts were removed using independent component analysis (ICA). Feature reduction was carried out using principal component analysis (PCA) and linear discriminant analysis (LDA). A number of machine learning classifiers were trained on the EEG data of 15 subjects to predict the response of the subject in the color-shape binding experiment. Results are promising and show that EEG signal analysis can help in building relevant tools for the neuro-rehabilitation of subjects suffering with impairments in visual feature binding or tools for BCI applications.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121336680","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}
Khan M. Sibgath Ali, Rao Koteswara, Amuru Saidhiraj, Kuchi Kiran
{"title":"Low PAPR DMRS sequence Design for 5G-NR Uplink","authors":"Khan M. Sibgath Ali, Rao Koteswara, Amuru Saidhiraj, Kuchi Kiran","doi":"10.1109/COMSNETS48256.2020.9027415","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027415","url":null,"abstract":"Low peak-to-average-power ratio (PAPR) transmissions significantly improve the cell coverage as they enable high power transmissions. A new modulation scheme, namely $pi/2-$ BPSK, was introduced in the Rel-15 3GPP 5G NR specifications to support low PAPR data transmissions in the uplink. However, in the existing 5G NR specifications, the reference signals employed for coherent demodulation of data symbols have higher PAPR than the data signals. This will potentially limit the cell coverage. It is, therefore, necessary to design reference signals that have low PAPR compared to the data signals. In this paper, we first present an architecture to minimize the PAPR of a binary sequence. We then present a systematic search procedure to obtain the best set of binary sequences, which, when employed for a reference signal generation, results in the best channel estimation performance. We show via simulations that the obtained binary sequences coupled with the architecture have a PAPR 2 dB smaller than the existing reference signals without compromising on the channel estimation performance.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121487043","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}
Pavan Reddy Manne, D. HarishKumar, Saidhiraj Amuru, K. Kuchi
{"title":"Removing the PDCCH Bottleneck and Enhancing the Capacity of 4G Massive MIMO Systems","authors":"Pavan Reddy Manne, D. HarishKumar, Saidhiraj Amuru, K. Kuchi","doi":"10.1109/COMSNETS48256.2020.9027449","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027449","url":null,"abstract":"The Full Dimension-MIMO (FD-MIMO) technology is capable of achieving huge improvements in network throughput with simultaneous connectivity of a large number of mobile wireless devices, unmanned aerial vehicles, and the Internet of Things (IoI). With large antennae at the base station, an enhanced multi-user transmission is performed to increase the capacity of physical downlink shared channel (PDSCH). However, the current 3rd Generation Partnership Project (3GPP) specifications of Long Term Evolution (LTE) do not allow the base station to perform any beamforming techniques for the physical downlink control channel (PDCCH). The PDCCH capacity dictates the number of users scheduled in a subframe, and thus, the PDCCH limits the cell capacity. Motivated by this, we propose a novel beamformed PDCCH (BF-PDCCH) design for LTE which strictly adheres to the 3GPP specifications. With just software-based changes at the base station, the proposed design significantly enhances the PDCCH capacity. The proposed design uses the sounding reference signals (SRS) transmitted in the uplink to decide the best beam for a user, and then ingeniously schedules the users in PDCCH. Since the performance of the proposed BF-PDCCH heavily relies on this SRS reception, we model the SRS channel estimation errors while evaluating the performance of the proposed BF-PDCCH. Through system-level simulations, we show that the proposed design achieves significant network throughput, and outperforms the current state of art algorithms and also the existing 3GPP schemes.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122372718","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}
Nishtha Madaan, Mudit Saxena, Hima Patel, S. Mehta
{"title":"Feedback-Based Keyphrase Extraction from Unstructured Text Documents","authors":"Nishtha Madaan, Mudit Saxena, Hima Patel, S. Mehta","doi":"10.1109/COMSNETS48256.2020.9027399","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027399","url":null,"abstract":"Machine Learning experts use classification and tagging algorithms considering the black box nature of these algorithms. These algorithms, primarily key-tags extraction from unstructured text documents are meant to capture key concepts in a document. With increasing amount of data, size and complexity of the data, this problem is key in industrial setup. Different possible use cases being in IT support, conversational systems/ chatbots and financial domains, this problem is important as shown in [1], [2]. In this paper, we bring a human in the loop, and enable a human teacher to give feedback to a key-tags extraction framework in the form of natural language. We focus on the problem of key-tags extraction in which the quality of the output can easily be judged by non-experts. Our system automatically reads natural language documents, extracts key concepts and presents an interactive information exploration user interface for analysing these documents.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120964289","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}