Boundary node detection for WSNs based on simple community percolation
نویسندگان
چکیده
منابع مشابه
Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks
Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable for large-scale networks. However, there are many shortcomings in these methods such as in...
متن کاملPercolation of localization in WSNs
Many localization mechanisms have been proposed for use in wireless sensor networks (WSN). In this paper, we investigate propagation properties of localization through simple trilateration across the network. We show that location information propagates following the theory of percolation. We empirically study the relationship between convergence speed of this process vs. node and network param...
متن کاملA Malicious Node Detection Algorithm Based on Principle of Maximum Entropy in WSNs
WSN is a distributed network exposed to an open environment, which is vulnerable to malicious nodes. To find out malicious nodes among a WSN with mass sensor nodes, this paper presents a malicious detection method based on maximum entropy model. Given the types of a few sensor nodes, it extracts sensor nodes’ preferences related with the known types of malicious node, establishes the maximum en...
متن کاملapplication of upfc based on svpwm for power quality improvement
در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولOverlapping Community Detection in Social Networks Based on Stochastic Simulation
Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2018
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2018.8309