2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing最新文献_第2页

Trends in power control during soft handoff in downlink direction of 3G WCDMA cellular networks 3G WCDMA蜂窝网络下行软切换时功率控制的发展趋势

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449889

S. Aggarwal, S. K. Tomar, A. Aggarwal, S. K. Sharma

引用次数: 10

PLDP: Possible Location Deployment Protocol for energy harvesting in WSNs PLDP:无线传感器网络能量收集的可能位置部署协议

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449884

A. Bindal, A. Mangla, D. Prasad, R. B. Patel

引用次数: 5

Competent routing protocol in Wireless Sensor Networks 无线传感器网络中的有效路由协议

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449787

R. S. Bhadoria, D. G. Chandra

引用次数: 4

An energy balanced distributed clustering and routing algorithm for Wireless Sensor Networks 一种能量均衡的无线传感器网络分布式聚类和路由算法

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449821

P. Kuila, P. K. Jana

{"title":"An energy balanced distributed clustering and routing algorithm for Wireless Sensor Networks","authors":"P. Kuila, P. K. Jana","doi":"10.1109/PDGC.2012.6449821","DOIUrl":"https://doi.org/10.1109/PDGC.2012.6449821","url":null,"abstract":"One of the most challenging and critical problem in Wireless Sensor Networks (WSNs) is to reduce energy consumption to prolong network life. Clustering is a popular topology control method for routing data through multi-hop communication. It can improve life time of a WSN as well as its scalability. In this paper, we present a distributed clustering and routing algorithm for WSN called CEBCRA (Cost-based Energy Balanced Clustering and Routing Algorithm). The algorithm comprises of three phases, namely cluster head selection, cluster setup and data routing. The CHs are selected in distributed manner based on residual energy and the neighbour cardinality. In the setup phase, each non-CH sensor node joins a CH within its communication range based on the cost value of the CHs. In data routing phase, CEBCRA first uses single hop communication within each cluster and then perform multi-hop communication between the clusters. For inter-cluster routing, a CH measures the cost of each path from itself towards base station while selecting other CH as a relay node for data forwarding on those paths. The experimental results show the efficiency of the proposed algorithm in terms of energy consumption and number of live sensor nodes. The results are compared with two existing techniques to show the efficacy of the algorithm.","PeriodicalId":166718,"journal":{"name":"2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913494","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: 45

Multi-sensor image fusion based on moment calculation 基于矩计算的多传感器图像融合

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449862

S. Pramanik, D. Bhattacharjee

引用次数: 3

User authentication in Social Networking Sites using face recognition 基于人脸识别的社交网站用户认证

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449920

Prabujeet Kaur, Aruni Singh

引用次数: 5

Computing optimum number of CCTV cameras for real-time traffic signal control system 实时交通信号控制系统中CCTV摄像机最优数量的计算

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449826

Pankaj Gupta, G. Purohit

{"title":"Computing optimum number of CCTV cameras for real-time traffic signal control system","authors":"Pankaj Gupta, G. Purohit","doi":"10.1109/PDGC.2012.6449826","DOIUrl":"https://doi.org/10.1109/PDGC.2012.6449826","url":null,"abstract":"Real time traffic light control system can be implemented through the use of CCTV cameras. These cameras will be used to input the traffic load on the junction. The main object is to adjust, in real times, signal timings in response to variation in traffic demand and system capacity. Now, the problem arises if it is mandatory to install the CCTV cameras at every node or junction or the system can be adapted to follow the modified approach wherein, the optimum number of nodes will be computed where the CCTVs can be installed and using the collected data and the information from these nodes, information can be generated for the nodes also where CCTVs have not been installed. So the system will be cost-effective and still the benefits of the system can be gained. Weighted graph for the traffic network in an urban city has been developed. As a case study on some part of Jaipur city in GIS environment of ArcView using Avenue scripting has been considered. The study has been carried out to determine the different ways of installing the CCTV cameras: · Full installation: The CCTV cameras are to be installed at every junction. The total number of intersection points in the graph model would provide the required output. · Partial installation: The points of CCTV cameras will be selected according to different heuristics. · Optimum Installation: The optimum number ofCCTV cameras to control the whole network are computed. To make the installation cost-effective, an optimum number of CCTVs is calculated for installing CCTV at some junctions. Some of the junctions will work without CCTV, however, using the collected data and information from these junctions, where CCTVs are installed, information can be generated for the junctions, where CCTVs are not provided.","PeriodicalId":166718,"journal":{"name":"2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126457589","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

Metrics improvement of MANET using reactive protocols approach 使用响应式协议方法对MANET进行度量改进

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449794

Puneet Dadral, R. Vohra, R. Sawhney

引用次数: 10

Distributed soft fault detection algorithm in wireless sensor networks using statistical test 基于统计检验的无线传感器网络分布式软故障检测算法

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449816

M. Panda, P. M. Khilar

引用次数: 29

A novel embedded approach for the development of wireless electro-oculogram based human-computer interface 一种开发无线眼电图人机界面的新型嵌入式方法

2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing Pub Date : 2012-12-01 DOI: 10.1109/PDGC.2012.6449827

P. Swami, R. Singh, T. Gandhi, S. Anand

引用次数: 4