2017 9th International Conference on Communication Systems and Networks (COMSNETS)最新文献_第5页

Sequential cooperative spectrum sensing in cognitive radio networks: Optimal selection of secondary users and their spectral measurements 认知无线电网络中的顺序协同频谱感知:二次用户的最佳选择及其频谱测量

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945394

L. Pillutla, Bhuvan Joshi

{"title":"Sequential cooperative spectrum sensing in cognitive radio networks: Optimal selection of secondary users and their spectral measurements","authors":"L. Pillutla, Bhuvan Joshi","doi":"10.1109/COMSNETS.2017.7945394","DOIUrl":"https://doi.org/10.1109/COMSNETS.2017.7945394","url":null,"abstract":"In this paper we consider the problem of spectrum sensing in cognitive radio networks which involves detection of primary (licensed) users (PUs) by secondary (unlicensed) users (SUs), who are interested in transmitting their data opportunistically. To facilitate accurate detection of PUs by the fusion center (FC) based on the energy measurements received from the chosen set of SUs, we formulate an optimization problem for selection of SUs and the number of samples they need to collect of the underlying spectrum. By assuming that the FC uses a sequential probability ratio test (SPRT) for performing spectrum sensing we formulate the problem of joint optimization over subset of SUs and the number of samples each of the SU in the chosen subset needs to collect, so that a composite cost function is maximized. For the computation of the optimal subset of SUs and the number of samples each SU has to collect we propose an algorithm based on DSO, in which optimization over the subset of SUs and the number of samples is done successively till convergence to the optimal set of values is achieved. Our simulation results demonstrate the efficacy of the proposed optimization approach based on SPRT as against that of a fixed sample size test at the FC. Specifically, the average number of samples required for an SPRT is much lower than that of a fixed sample size test for given values of probability of detection and probability of false alarm. The simulation results also confirm tracking ability of the proposed DSO based algorithms, in response to variations in the corresponding channel gains between the SUs and the FC.","PeriodicalId":168357,"journal":{"name":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127680936","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: 0

SDN-based dynamic flow scheduling in optical data centers 基于sdn的光数据中心动态流调度

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945376

S. Girisankar, Tram Truong Huu, G. Mohan

{"title":"SDN-based dynamic flow scheduling in optical data centers","authors":"S. Girisankar, Tram Truong Huu, G. Mohan","doi":"10.1109/COMSNETS.2017.7945376","DOIUrl":"https://doi.org/10.1109/COMSNETS.2017.7945376","url":null,"abstract":"Wavelength division multiplexing (WDM) based optical networks have been shown to be an attractive “green” solution for cloud data center networks because of its high bisection bandwidth, low power consumption and low complexity of network wiring. In addition to the circuit-switched nature of optical networks, the high degree of the optical switch and dynamic arrival of traffic flows make the problem of flow scheduling in optical data centers becomes very challenging. It has to consider not only the flow admission control but also wavelength assignment for the lightpaths. In this paper, we address the problem of flow scheduling in optical data centers. We first develop an optimization programming formulation that aims at maximizing the revenue for cloud providers in a long run. Since solving the optimization formulation is computationally prohibitive, we develop heuristic scheduling algorithms based on the congestion factor of traffic flows. We design a Software Defined Network framework that integrates the proposed algorithms to perform flow scheduling in optical data center networks. We evaluate the proposed algorithms through comprehensive simulations and compare their performance against that of a baseline algorithm. The results show that the proposed algorithms achieve good performance improvement compared to the baseline algorithm.","PeriodicalId":168357,"journal":{"name":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127638652","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

μPnP-WAN: Experiences with LoRa and its deployment in DR Congo μPnP-WAN: LoRa的经验及其在刚果民主共和国的部署

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945359

G. Ramachandran, F. Yang, Piers W. Lawrence, Sam Michiels, W. Joosen, D. Hughes

引用次数: 22

Interference reduction by switching the underlaying transmitter in D2D communications 通过切换D2D通信中的底层发射机来减少干扰

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945421

Chaudhari Mahesh Shamrao, Prashant Kumar, Preetam Kumar

引用次数: 4

Learning based gain-aware content dissemination in delay tolerant networks 时延容忍网络中基于学习的增益感知内容传播

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945377

Faezeh Hajiaghajani, S. Biswas

引用次数: 5

Auto-tuning active queue management 自动调优活动队列管理

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945369

Joe H. Novak, S. Kasera

引用次数: 3

On the importance of link characterization for wireless sensor networks in underground mines 论链路表征对井下无线传感器网络的重要性

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945456

A. Ranjan, P. Misra, H. B. Sahu

引用次数: 4

Study and analysis of DSB-SC-FMCW radar in SDR platform SDR平台下DSB-SC-FMCW雷达的研究与分析

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945406

Vikas Arya, P. Jishnu, K. P. Ray

引用次数: 3

Performance analysis of dual-hop DF relaying systems in the combined presence of CEE and RFI CEE和RFI联合存在下双跳DF中继系统的性能分析

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945397

A. Mishra, Debmalya Mallick, Mareesh Issar, Poonam Singh

引用次数: 8

Analysis of the Tau concept used in aircraft collision avoidance through kinematic simulations 通过运动学仿真分析Tau概念在飞机避碰中的应用

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI: 10.1109/COMSNETS.2017.7945428

Sushrut Vaidya, Taha Khot

{"title":"Analysis of the Tau concept used in aircraft collision avoidance through kinematic simulations","authors":"Sushrut Vaidya, Taha Khot","doi":"10.1109/COMSNETS.2017.7945428","DOIUrl":"https://doi.org/10.1109/COMSNETS.2017.7945428","url":null,"abstract":"The airborne Traffic Alert and Collision Avoidance System (TCAS) is the current standard for detecting and avoiding potential mid-air collisions. Based on information received from nearby aircraft, TCAS issues Traffic Advisories (TAs) to alert pilots about potential conflicts. If an impending collision threat arises, TCAS provides Resolution Advisories (RAs) involving vertical maneuvers (such as Climb or Descend) to help resolve the threat. The TCAS logic primarily uses a parameter Tau, which is a measure of the time to the closest point of approach, in terms of range or vertical separation, between the two aircraft. In this paper, we use particle kinematics-based simulations to generate two-aircraft mid-air encounters with different geometries and closure rates, and we assess and compare the performance of collision threat detection criteria that employ conventional and modified definitions of Tau as well as a criterion that closely models the logic of TCAS. We analyze encounters between jet airliners, as well as those between jet airliners and small general aviation aircraft in urban airspace. Low closure rate encounters are also considered. Performance of different threat detection criteria is assessed by calculating the range and vertical separation between aircraft at the instant of RA generation. The modified Tau definitions provide greater separations than the conventional ones. The criterion that closely models the threat detection logic of TCAS provides intermediate levels of separation.","PeriodicalId":168357,"journal":{"name":"2017 9th International Conference on Communication Systems and Networks (COMSNETS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129599165","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