A LEACH-Head Expected Frequency Appraisal Algorithm for Water-Environment Monitoring Networks

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A LEACH-Head Expected Frequency Appraisal Algorithm for Water-Environment Monitoring Networks

Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in t...

متن کامل

An Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks

LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...

متن کامل

Parallel LEACH Algorithm for Wireless Sensor Networks

Hierarchical-based protocols are some of the most popular routing schemes used in wireless sensor networks due to their favorable, energy-saving properties. However, when it comes to large-scale wireless sensor network applications, these algorithms suffer from an increase in computational complexity and latency. In this paper, a parallel algorithm for the hierarchical-based protocol has been d...

متن کامل

Head-Driven Simulation of Water Supply Networks

Up to now most of the existing water supply network analyses have been based on demand-driven simulation models. These models assume that nodal outflows are fixed and are always available. However, this method of simulation neglects the pressure-dependent nature of demand that is characterized by changes in actual nodal outflows particularly during critical events like major mechanical or hydra...

متن کامل

Monitoring of Regional Low-Flow Frequency Using Artificial Neural Networks

Ecosystem of arid and semiarid regions of the world, much of the country lies in the sensitive and fragile environment Canvases are that factors in the extinction and destruction are easily destroyed in this paper, artificial neural networks (ANNs) are introduced to obtain improved regional low-flow estimates at ungauged sites. A multilayer perceptron (MLP) network is used to identify the funct...

متن کامل

ذخیره 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: International Journal of Communications, Network and System Sciences

سال: 2011

ISSN: 1913-3715,1913-3723

DOI: 10.4236/ijcns.2011.49067