2012 International Conference on Communication, Information & Computing Technology (ICCICT)最新文献_第10页

Development of vehicle tracking system using passive sensors 无源传感器车辆跟踪系统的研制

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398113

P. Choudhari

引用次数: 4

An affine combination of two time varying LMS adaptive filters 两个时变LMS自适应滤波器的仿射组合

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398212

A. Kaleem, A. I. Tamboli

引用次数: 0

Broadband proximity fed modified rectangular microstrip antenna 宽带近馈改进矩形微带天线

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398153

A. Deshmukh, D. Vivek, S. Darpan, K. Sagar, K. P. Ray

引用次数: 7

Tabu search for solving personnel scheduling problem 解决人员调度问题的禁忌搜索

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398097

A. Adamuthe, R. Bichkar

引用次数: 15

Design and hardware implementation of a low complexity MIMO OFDM system 一种低复杂度MIMO OFDM系统的设计与硬件实现

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398103

B. Kamdar, D. Shah, S. Sorathia, Y. S. Rao

引用次数: 4

Distributed verification protocols for data storage security in Cloud Computing 云计算中数据存储安全的分布式验证协议

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398205

P. Pradhan, P. S. Kumar, G. Mahapatra, R. Subramanian

引用次数: 4

On the performance of AoA estimation algorithms in cognitive radio networks 认知无线电网络中AoA估计算法的性能研究

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398123

T. Dhope, D. Simunic

{"title":"On the performance of AoA estimation algorithms in cognitive radio networks","authors":"T. Dhope, D. Simunic","doi":"10.1109/ICCICT.2012.6398123","DOIUrl":"https://doi.org/10.1109/ICCICT.2012.6398123","url":null,"abstract":"Bandwidth efficiency is very important parameter, because it relates to frequency spectrum, which is naturally, limited resource. The cognitive radio has been proposed as the future technology to meet the ever increasing demand of the radio spectrum by allocating the spectrum dynamically to allow unlicensed access on non-interfering basis. Conventional sensing methods usually relate to sensing the spectrum in three dimensions viz. frequency, time and space. However, there are other dimensions `Angle' and `Code' that need to be explored further for spectrum opportunity. This paper investigates the performance of Angle of Arrival (AoA) estimation algorithms like Bartlett's, Capon, MUSIC, Root-MUSIC and ESPRIT in cognitive radio networks. The results show that the performance of the algorithms improves with increasing number of array elements, increasing number of snapshots and increasing signal-to-noise ratio. This new approach of AoA estimation of licensed user, improves frequency reuse capability and increases channel capacity by multiplexing multiple users (licensed and unlicensed) into the same channel at the same time in the same geographical area by forming the beam of unlicensed user in the direction other than the licensed users' AoA direction.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984181","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

Cluster based cooperative sensing:-A survey 基于集群的协同感知研究

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398111

T. Dhope, D. Simunic

{"title":"Cluster based cooperative sensing:-A survey","authors":"T. Dhope, D. Simunic","doi":"10.1109/ICCICT.2012.6398111","DOIUrl":"https://doi.org/10.1109/ICCICT.2012.6398111","url":null,"abstract":"The complexity of wireless system requires a careful design, especially related to bandwidth and energy efficiency. The energy efficiency is getting more and more on importance, due to increasing penetration of various wireless systems in different battery-oriented applications, as well as due to the more conscious global view on the need for “greening the Earth”. Bandwidth efficiency is very important parameter, because it relates to frequency spectrum, which is naturally limited resource. The cognitive radio has been proposed as the future technology to meet the ever increasing demand of the radio spectrum by allocating the spectrum dynamically to allow unlicensed access on non-interfering basis. Cooperative spectrum sensing has been proposed to combat the multipath fading, shadowing and receiver uncertainty problem improving the detection performance by exploiting spatial diversity but at the cost of increase in cooperation overhead such as extra sensing time, delay, energy and operations devoted to cooperative sensing. Cluster based cooperative sensing can improve the performance and reduce the computational cost. In recent years, many methods of cooperative spectrum sensing have been proposed based on the clustering technique. In this paper, we provide an extensive review of cluster-based cooperative spectrum sensing.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129357643","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: 12

Two-channel monopulse tracking receiver for onboard antenna tracking system 用于机载天线跟踪系统的双通道单脉冲跟踪接收机

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398168

P. K. Gupta, R. Vaghela, K. Bhatt, S. Valdiya

引用次数: 16

A Markov-Graph Cache Replacement Policy for mobile environment 移动环境下的马尔可夫图缓存替换策略

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI: 10.1109/ICCICT.2012.6398119

H. Chavan, S. Sane, H. B. Kekre

{"title":"A Markov-Graph Cache Replacement Policy for mobile environment","authors":"H. Chavan, S. Sane, H. B. Kekre","doi":"10.1109/ICCICT.2012.6398119","DOIUrl":"https://doi.org/10.1109/ICCICT.2012.6398119","url":null,"abstract":"The Location Based Services (LBS) have changed the way mobile applications access and manage Mobile Database System (MDS). In LBS data is moved closer to applications to increase the effectiveness and independence. This trend leads to many interesting research problems in mobile database caching. In MDS caching is effective way to improve the performance. The desired caching can be achieved by convincingly accurate prediction of data items for the present and future query processing. It is important to take into consideration the location and movement direction of mobile clients while performing cache replacement. In this paper we propose a Markov Graph Cache Replacement Policy (MGCRP) for MDS. The MGCRP predicts the future client location by first/second order Markov Model. The access patterns generated using biclustering the database and will be prefetched to reduce the network traffic and user latencies. An expressive data structure, graph is used to find the location which is not in close proximity for cache replacement. If data related to Markov-Graph location is not part of cache then replacement is based on valid scope, access frequency, data distance and data size of data item. Simulation results for cache size and query interval show that the MGCRP performs significantly better than the existing Least Recent Used (LRU), Furthest Away Replacement (FAR), Prioritized Predicted Region based Cache Replacement Policy (PPRRP) and Markov Model based Cache Replacement Policy (MMCRP).","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133596357","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: 5