2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES)最新文献_第7页

Key management in efficient and secure group communication 有效和安全的组通信密钥管理

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581384

Manisha Yadav, Karan Singh, A. Pandey

{"title":"Key management in efficient and secure group communication","authors":"Manisha Yadav, Karan Singh, A. Pandey","doi":"10.1109/ICETEESES.2016.7581384","DOIUrl":"https://doi.org/10.1109/ICETEESES.2016.7581384","url":null,"abstract":"Wireless communication growth inspires so many new network applications, which are based on multicast communication and group communication models. In a multicast communication to secure our communication from the attackers and unauthenticated users some security policies need to deploy in our network. There are various methods of deploying security one of them is cryptography. It applies a keying process at sender and receiver ends. So, the work of Key management is to manage cryptographic keys in a system. The main functions are key generation, key exchange, storage, use, and replacement of keys. It also works for cryptographic protocol design. It focuses keys which are being used at the user level and at the sender level of data either between users or systems. It is very difficult task of cryptography because it involves system policy, user training, and coordination between all of the components. Key management in multicast communication is more complex than Unicast communication. In a secure system, assuming that a request is made to establish a multicast session amongst a group of members which are communicating to each other is granted. So, this keying process suffers with few problems like more overheads, key size, nos. of keys used etc. This paper focuses on these issues and a new method is proposed here to reduce the communication overheads as well as storage overheads.","PeriodicalId":322442,"journal":{"name":"2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130888052","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

Modified geographical energy-aware routing protocol in wireless sensor networks 无线传感器网络中改进的地理能量感知路由协议

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581386

P. Singh, A. K. Prajapati, A. Singh, R. Singh

引用次数: 9

Solution to unit commitment problem using Lagrangian relaxation and Mendel's GA method 用拉格朗日松弛法和孟德尔遗传算法求解单元承诺问题

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581372

Vinay Arora, S. Chanana

{"title":"Solution to unit commitment problem using Lagrangian relaxation and Mendel's GA method","authors":"Vinay Arora, S. Chanana","doi":"10.1109/ICETEESES.2016.7581372","DOIUrl":"https://doi.org/10.1109/ICETEESES.2016.7581372","url":null,"abstract":"Phenomenal increase in load and cost of electricity has raised many challenges ranging from security of the system to the economics of generation. For economic operation of power system, the solution to Unit Commitment problem is necessary. Unit Commitment aims to schedule the generation to meet the load demands at the most economical rate for the next few hours. It decides that which unit should be operated in that particular period of study and which should not. On time horizon basis, it can be varied from few hours to one week. In this paper, the solution to unit commitment problem is achieved using Lagrangian relaxation and modified Mendel's GA approach for standard 10 unit system for 24 hours with 1-hour time interval. The Lagrangian Relaxation (LR) method provides a good optimal solution but it sometimes suffers from numerical convergence and problems related to solution quality. The proposed Lagrangian Relaxation and Mendel's Genetic Algorithms (LRMGA) include Mendel's Genetic Algorithm into Lagrangian Relaxation method to update the Lagrangian multipliers and improve the performance in solving problems like Unit Commitment (UC) problem. Results so obtained are compared with those obtained with various other methods. Solutions obtained show better convergence and highly optimal solution by LRMGA.","PeriodicalId":322442,"journal":{"name":"2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122385827","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

Design and implementation of an energy efficient routing approach based on existing AODV protocol in Mobile Adhoc Networks for military 基于现有AODV协议的军用移动自组网节能路由方法的设计与实现

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581388

N. Khanna, K. Naik

{"title":"Design and implementation of an energy efficient routing approach based on existing AODV protocol in Mobile Adhoc Networks for military","authors":"N. Khanna, K. Naik","doi":"10.1109/ICETEESES.2016.7581388","DOIUrl":"https://doi.org/10.1109/ICETEESES.2016.7581388","url":null,"abstract":"The deployment of Mobile Adhoc Networks (MANETs) in military/battlefield environment has helped proliferation of wireless voice and data communications services to the users beyond the reach of fixed network connectivity. However, the battery operated mobile nodes are constrained by their battery life, which may be difficult to replace/recharge in hostile battlefield environment, and thus affecting the network lifetime of such a network. Due to the critical operational requirement of such networks, the outage of even a few of the nodes due to power exhaustion might cause disconnect of services in the entire network. The proposed approach aims at increasing the network lifetime of such a MANET, by distributing the routing load among all the nodes within the network. This is achieved by calculating the residual energy of all the nodes in the entire path between the source and the destination, for various paths available, and then comparing and selecting the path which is most optimal in terms of energy efficiency. This approach follows a load balancing approach that avoids power/traffic congested paths and chooses paths that are lightly loaded. This helps in reducing the variance in energy consumption at various nodes due to load distribution and thus eventually increasing the overall network lifetime of the network.","PeriodicalId":322442,"journal":{"name":"2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740814","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: 11

Sensorless speed estimation of linear induction motor under variable discrete loading using cascaded MRAS observer 基于级联MRAS观测器的变离散负载下线性感应电机无传感器转速估计

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581393

D. Panda, S. Ashok

引用次数: 2

‘T’ shaped bended type antenna for wireless communication 用于无线通信的“T”形弯曲型天线

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581364

Divya Singh, S. P. Gangwar, Aditya Kumar Verma

引用次数: 1

Performance analysis of N-type double gate junctionless transistor n型双栅无结晶体管的性能分析

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581402

Shweta Yadav, V. Mishra, R. Chauhan

引用次数: 0

Integration of single-stage SPV generation to grid using admittance based LMS technique 基于导纳的LMS技术实现单级SPV发电与电网的集成

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581398

R. Agarwal, Ikhlaq Hussain, Bhim Singh

引用次数: 4

Short-term load forecasting methods: A review 短期负荷预测方法综述

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581373

A. Srivastava, A. S. Pandey, Devender Singh

引用次数: 100

Optimal sizing & siting of DG with load models using genetic algorithm under different loading conditions 基于遗传算法的荷载模型在不同荷载条件下对DG进行最优的尺寸和选址

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-01 DOI: 10.1109/ICETEESES.2016.7581374

V. B. Jaiswal, A. Gautam, S. Singh, J. P. Pandey, R. Payasi

引用次数: 0