2016 2nd International Conference on Computational Intelligence and Networks (CINE)最新文献_第2页

Efficient Energy Management in Mobile MIMO Cooperative Sensor Networks (M-MCSN) 移动MIMO协同传感器网络(M-MCSN)的高效能量管理

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.13

Lincoln Mohanty, Saikath Bhattacharya, S. S. Singh

引用次数: 0

Weather Monitoring Using Artificial Intelligence 使用人工智能进行天气监测

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.26

T. Anandharajan, G. A. Hariharan, K. K. Vignajeth, R. Jijendiran, Kushmita

引用次数: 28

An Atomic Model Based Optimization Algorithm 一种基于原子模型的优化算法

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.18

A. Biswas, Bhaskar Biswas, K. Mishra

引用次数: 2

Performance Analysis of Moving Multi-antenna Relay Cooperation with Hybrid Relaying Scheme in Cooperative Wireless Networks 无线协同网络中移动多天线中继与混合中继协同的性能分析

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.36

P. Sunil

引用次数: 4

A Modified Framework for Image Compression Using Burrows-Wheeler Transform 基于Burrows-Wheeler变换的图像压缩改进框架

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.33

Annapurna Pradhan, Nibedita Pati, Suvendu Rup, Avipsa S. Panda

引用次数: 3

Performance Analysis of Ensemble Supervised Machine Learning Algorithms for Missing Value Imputation 缺失值估计中集成监督机器学习算法的性能分析

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.35

Sunil Kumar, M. Pandey, A. Nath, Karthikeyan Subbiah

引用次数: 13

A Historical Feedback Based Misbehavior Detection (HFMD) Algorithm in VANET VANET中基于历史反馈的错误行为检测算法

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.11

Alok Kumar, Jai Ram Singh, Dinesh Singh, R. Dewang

{"title":"A Historical Feedback Based Misbehavior Detection (HFMD) Algorithm in VANET","authors":"Alok Kumar, Jai Ram Singh, Dinesh Singh, R. Dewang","doi":"10.1109/CINE.2016.11","DOIUrl":"https://doi.org/10.1109/CINE.2016.11","url":null,"abstract":"Vehicular Ad-hoc Network (VANET) is a promising technology with a great potential for providing enhanced safety and convenience to the drivers and passengers. The majority of application in VANET involves exchange of information amongst vehicles. An adversary may take this as an advantage to disturb the network by disseminating false information about any occurred event on the road. In this paper, we propose a Historical Feedback based Misbehavior Detection Algorithm (HFMDA) to detect the misbehavior vehicles inside from the network. In this algorithm, an observer vehicle sends a notification to the nearest RSU against a crash-event occurred on the road. Here we assume that all vehicles accumulate its past history for event notifications. All the vehicles maintains this history with two parameters: Event Notifications (EN) and True Event Notification (TEN). In proposed HFMD algorithm, a vehicle's historical record is firstly check to know its past misbehavior history and an RSU_Verification algorithm is used to verify the status of current received notification at the RSU. The proposed hybrid algorithm i.e. data centric and event centric, is a RSU side algorithm instead of vehicle side. The RSU overhead is significantly reduced through the proposed algorithm since verification of only highest trusted vehicle is done.","PeriodicalId":142174,"journal":{"name":"2016 2nd International Conference on Computational Intelligence and Networks (CINE)","volume":"151 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":"123228691","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: 9

A Single-Hop Based Fast Certificate Revocation Protocol in VANET VANET中基于单跳的快速证书撤销协议

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.12

Jaya Singh, Alok Kumar, Dinesh Singh, R. Dewang

{"title":"A Single-Hop Based Fast Certificate Revocation Protocol in VANET","authors":"Jaya Singh, Alok Kumar, Dinesh Singh, R. Dewang","doi":"10.1109/CINE.2016.12","DOIUrl":"https://doi.org/10.1109/CINE.2016.12","url":null,"abstract":"A vehicular ad hoc network (VANET) uses vehicles as mobile nodes to create a network. The increasing number of vehicle on road creates alot of problem to the vehicle driver as well as passengers. VANET is network which is developed to face these situations and provide road safety and comfortable journey to the driver. In this network each vehicle can communicate to other vehicle and share the rode condition to each other. By shared information in the network, drivers take its own decision. So each messages hared in the network should be authentic if not, a wrong information leads to dangers situation for the driver. If a vehicle is sharing a wrong information it must be removed from the communicating network by adding its certificates in the Certificate Revocation List (CRL). Here we propose a method, how the certificate of vehicle is revoke when it misbehaves. In our proposed method we use a fully trusted vehicle i.e. RTO Vehicle on the road. There vocation decision is taken by RTO vehicle which observe the behavior of vehicle before revoking it. It also observes the position of malicious vehicle in its range and inform to other vehicle in the proximity of malicious vehicle. This method significantly improves the revocation process speed and distribution of latest CRL in the network very fast.","PeriodicalId":142174,"journal":{"name":"2016 2nd International Conference on Computational Intelligence and Networks (CINE)","volume":"1 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":"130285856","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

Communication Converging towards Adaptive Intelligence: A Survey 向适应性智能融合的通信:综述

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.10

Avijit Paul, Amrita Mukherjee Paul, Kuntal Ghosh

引用次数: 1

A Proposed Multithreading Fuzzy C-Mean Algorithm for Detecting Underwater Fishes 一种用于水下鱼类检测的多线程模糊c均值算法

2016 2nd International Conference on Computational Intelligence and Networks (CINE) Pub Date : 1900-01-01 DOI: 10.1109/CINE.2016.25

Sushil Kumar Mahapatra, Sumant Kumar Mohapatra, Sakuntala Mahapatra, S. K. Tripathy

引用次数: 4