2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)最新文献_第7页

Zone Divisional Hierarchical Routing Protocol for Wireless Sensor Network 无线传感器网络分区分层路由协议

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.38

Inderjit Singh, T. S. Panag

{"title":"Zone Divisional Hierarchical Routing Protocol for Wireless Sensor Network","authors":"Inderjit Singh, T. S. Panag","doi":"10.1109/CICN.2016.38","DOIUrl":"https://doi.org/10.1109/CICN.2016.38","url":null,"abstract":"Clustering prolongs energy resources, improves scalability and preserves communication bandwidth. Clustering is either classified as static and dynamic or as equal and unequal. In cluster based routing protocols that employ multi-hop communication, imbalanced energy consumption among the nodes results in hot-spots. Unequal clustering overcomes hot-spots but requires a high overhead and is prone to connectivity issues. To offer guaranteed connectivity and alleviate the hot-spot problem, a zone divisional hierarchical routing protocol has been proposed in this paper. The network is divided into equal sized static rectangular clusters which are assigned to two zones namely near zone and far zone. The zone facing the base station is known as the near zone and rest of the network space makes up the far zone which is further divided into sub-zones. Dual cluster heads approach for sharing the reception, aggregation and forwarding tasks is proposed. The performance evaluation of the proposed protocol against the existing protocols reveals that the method offers energy-efficient multi-hop communication support, uses negligible overhead, prevents creation of hot-spots, avoids early death of nodes, uses balanced energy consumption across the network and maximizes the network lifetime.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123665108","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

Image Deblurring with Impulse Noise Using Alternating Direction Method of Multipliers and Lucy-Richardson Method 基于乘法器交替方向法和Lucy-Richardson方法的脉冲噪声图像去模糊

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.52

Usha P. Tigga, Jaimala Jha

引用次数: 1

Fairness Based Macro Base Station Power Control Algorithm in Heterogeneous Cellular Networks 异构蜂窝网络中基于公平性的宏基站功率控制算法

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.23

Xueting Wang, Qi Zhu

引用次数: 1

Low Power Consumption Based 4T SRAM Cell for CMOS 130nm Technology 基于CMOS 130nm技术的低功耗4T SRAM单元

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.121

Anshul Goyal, V. Agarwal

引用次数: 1

Mathematical Modeling of Social Networks: A Probabilistic Approach to Explore Relationship in Social Networks 社会网络的数学建模:探索社会网络中关系的概率方法

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.74

M. K. Srivastav, A. Nath

{"title":"Mathematical Modeling of Social Networks: A Probabilistic Approach to Explore Relationship in Social Networks","authors":"M. K. Srivastav, A. Nath","doi":"10.1109/CICN.2016.74","DOIUrl":"https://doi.org/10.1109/CICN.2016.74","url":null,"abstract":"Online Social Networks system is based on the relationship among members of social networks. Communication among nodes influences their relationship. Relationship among nodes may be visible or invisible. The relationship among members of social networks passes through three stages of life cycles which are primary stage, secondary stage and termination Stage. Primary stages are those stages in which the relationship among two or more nodes are established. This relationship may be direct (i.e., one to one or one to many) and indirect (i.e., mutual relation, virtual relation etc.). Secondary stages are those stages in which the communication among nodes (i.e. members of social networks) starts. But there is always uncertainty related to communication among nodes of social networks. There may be chances that communication among nodes with each other may be for gap of short duration, medium duration or long duration. A sender may send a message to different others members of social networks but he may not get certain response on a message. Types of response on a message establishes the different kinds of relationship. In the present paper the authors made a study on probabilistic approach to establish different types of relationship among nodes on the basis of their response and with their activity. The authors also applied co-relation theory to establish different types of relationship like positive, negative, no relationship and perfect relationship.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121366635","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

Liver Segmentation in Ultrasound Images Based on FCM_I 基于FCM_I的超声图像肝脏分割

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.67

Xiaofeng Zhang, Shih-Sian Cheng, Hong Ding, Huiqun Wu, Nianmei Gong, Jun Wang

引用次数: 2

Soft Computing Techniques Applied to Distribution Network Reconfiguration: A Survey of the State-of-the-Art 软计算技术在配电网重构中的应用

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.144

Ishan Srivastava, S. Bhat

引用次数: 3

Design of a High Linear Integrator for Oversampled ADC 过采样ADC的高线性积分器设计

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.61

Varun Mishra, Abhishek Bora, V. Ramola

引用次数: 0

Hourly Load Forecasting Model Based on Real-Time Meteorological Analysis 基于实时气象分析的小时负荷预测模型

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.101

Qingping Huang, Yujiao Li, Song Liu, Peng Liu

引用次数: 3

Design and Development of Automatic Fire Alert System 火灾自动报警系统的设计与开发

2016 8th International Conference on Computational Intelligence and Communication Networks (CICN) Pub Date : 2016-12-01 DOI: 10.1109/CICN.2016.130

Sarita Gupta, Ajay Mudgil, Prashant Bhardwaj, Mahendra Gupta

{"title":"Design and Development of Automatic Fire Alert System","authors":"Sarita Gupta, Ajay Mudgil, Prashant Bhardwaj, Mahendra Gupta","doi":"10.1109/CICN.2016.130","DOIUrl":"https://doi.org/10.1109/CICN.2016.130","url":null,"abstract":"Fire is one of the prime causes of accidental death in the world. Severe injuries, property losses and environmental pollution are happened by fire accidents. We are unable to control problem due to undeveloped fire alert systems and lack of synchronization with advanced technologies. Time delay, false alarm and inaccuracy make traditional electronic fire alert systems insufficient to fulfill our requirements. There is need to develop more accurate, wireless, real time, automatic fire alert system that gives information like degree of fire or spread of fire, location of accidental site etc. Presenting system is designed to fulfill user requirements which consist of micro-controller, RF module, GSM and two types of sensors. System is initialized and set the longitude & latitude of location by switches as well as Temperature & IR Sensors are placed at appropriate locations in building to determine fire-happening then Wireless communication is made possible by RF module, If fire is detected then micro-controller are used to calculate fire affected area and quantity of extinguisher required by preset data. This information and URL address of affected location is send to fire control office by GSM module. GOOGLE MAP is used to trace the affected location and timely rescue operation is made possible. Presenting system is more efficient, robust and low cost than to existing one and can be used rigorously.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123771522","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