scholarly journals REDUCING RADIO BANDWIDTH LOAD IN NANOLOC-BASED WIRELESS NETWORKS THROUGH SELECTING APPROPRIATE SUBSET OF BASE STATIONS FOR RANGING

2011 ◽  
pp. 358-366
Author(s):  
Alexander S. Galov ◽  
Alex P. Moschevikin ◽  
Alexei V. Soloviev
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Networks ◽  
Sensor Networks ◽  
Base Stations ◽  
Wireless Sensor ◽  
Location Accuracy ◽  
Overall Performance

In wireless sensor networks based on nanoLOCTM standard and using server-centric control, the overall performance of radio segment and location accuracy depends amongst other on the efficiency of the location engine. The efficiency may be increased by selecting an appropriate subset of base stations for ranging. This paper describes the experiments dealing with this problem, and discusses the ways of saving radio bandwidth.

The Debris Flow Disaster Faster-Than-Early Forecast System (DFS) with Multi-Sensors Integrated Wireless Sensor Networks

2013 ◽  
Vol 347-350 ◽  
pp. 975-979
Author(s):  
Rong Zhao ◽  
Cai Hong Li ◽  
Yun Jian Tan ◽  
Jun Shi ◽  
Fu Qiang Mu ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Debris Flow ◽  
Real Time ◽  
Debris Flows ◽  
Base Station ◽  
Base Stations ◽  
Wireless Sensor ◽  
Forecast System ◽  
Debris Flow Disaster

This paper presents a Debris Flow Disaster Faster-than-early Forecast System (DFS) with wireless sensor networks. Debris flows carrying saturated solid materials in water flowing downslope often cause severe damage to the lives and properties in their path. Faster-than-early or faster-than-real-time forecasts are imperative to save lives and reduce damage. This paper presents a novel multi-sensor networks for monitoring debris flows. The main idea is to let these sensors drift with the debris flow, to collect flow information as they move along, and to transmit the collected data to base stations in real time. The Raw data are sent to the cloud processing center from the base station. And the processed data and the video of the debris flow are display on the remote PC. The design of the system address many challenging issues, including cost, deployment efforts, and fast reaction.

scholarly journals A SCALAR BASED ROUTING PROTOCOL APPLIED TO WIRELESS SENSOR NETWORKS

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Kailash Subramanian
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Supply ◽  
Routing Protocols ◽  
Base Station ◽  
Base Stations ◽  
Wireless Sensor ◽  
Efficient Manner ◽  
Failure Tolerance ◽  
Main Station

Wireless Sensor Networks motes have a small size, which leads to severe power supply restrictions. Much of the work on conserving power has been undertaken in the domain of routing protocols which deals with sending data in an efficient manner. In this paper a new scalar based protocol is proposed with a combination of multiple sub-base stations, that seeks to enhance the efficiency of protocol in terms of consumption of power and node failure tolerance. All the nodes are divided into regions, with each region having a sub- base station(sBS) and an arbitrary scalar value. Each sBS has lesser power supply and computation power compared to main station, but more of the mentioned metrics with respect to the sensor motes. Previous studies have described various paradigms and metrics for routing protocols and the placement of base stations. In this paper, the said algorithm is proposed, and its efficiency is analysed.

Event Detection in Wireless Sensor Networks

2012 ◽  
pp. 226-238
Author(s):  
Sohail Anwar ◽  
Chongming Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Event Detection ◽  
Wireless Sensor ◽  
Comprehensive Overview ◽  
Detection Mechanism ◽  
Detection Techniques ◽  
The World

Wireless Sensor Networks (WSNs) have experienced an amazing evolution during the last decade. Compared with other wired or wireless networks, wireless sensor networks extend the range of data collection and make it possible for us to get information from every corner of the world. The chapter begins with an introduction to WSNs and their applications. The chapter recognizes event detection as a key component for WSN applications. The chapter provides a structured and comprehensive overview of various techniques used for event detection in WSNs. Existing event detection techniques have been grouped into threshold based and pattern based mechanisms. For each category of event detection mechanism, the chapter surveys some representative technical schemes. The chapter also provides some analyses on the relative strengths and weaknesses of these technical schemes. Towards the end, the trends in the research regarding the event detection in WSNs are described.

An Enhanced DV-Hop Localization Algorithm for Wireless Sensor Networks

2012 ◽  
Vol 2 (2) ◽  
pp. 16-35 ◽  
Author(s):  
Shrawan Kumar ◽  
D. K. Lobiyal
Keyword(s):  
Wireless Sensor Networks ◽  
Linear Programming ◽  
Sensor Networks ◽  
Problem Formulation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Location Accuracy ◽  
Localization Accuracy ◽  
Error Terms

Obtaining precise location of sensor nodes at low energy consumption, less hardware requirement, and little computation is a challenging task. As one of the well-known range-free localization algorithm, DV-Hop can be simply implemented in wireless sensor networks, but it provides poor localization accuracy. Therefore, in this paper, the authors propose an enhanced DV-Hop localization algorithm that provides good localization accuracy without requiring additional hardware and communication messages in the network. The first two steps of proposed algorithm are similar to the respective steps of the DV-Hop algorithm. In the third step, they first separate error terms (correction factors) of the estimated distance between unknown node and anchor node. The authors then minimize these error terms by using linear programming to obtain better location accuracy. Furthermore, they enhance location accuracy of nodes by introducing weight matrix in the objective function of linear programming problem formulation. Simulation results show that the performance of our proposed algorithm is superior to DV-Hop algorithm and DV-Hop–based algorithms in all considered scenarios.

Wireless Sensor Networks Advances for Ubiquitous Computing

2010 ◽  
pp. 175-189 ◽  
Author(s):  
João B. Borges Neto ◽  
Rossana M. C. Andrade ◽  
Pedro Fernandes Ribeiro Neto
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Networks ◽  
Sensor Networks ◽  
Ubiquitous Computing ◽  
Everyday Life ◽  
Wireless Sensor ◽  
Smart Environments ◽  
Internal Operations

Wireless Sensor Networks (WSN) have considerably evolved in recent years. Their main focus has been always restricted to the extraction of information from the environment, but only data collected by the network has been considered. All internal operations and challenges encountered in achieving the requirements assigned to the data have been ignored. However, the advances in the area of WSN, allowing their operation in scenarios under different conditions, make us believe that they are sufficiently mature and optimized to solve problems in other related areas. So, considering the WSN as an ideal laboratory to find solutions to several problems in wireless networks, this Chapter discusses how the advances of these networks may be useful to help the development and creation of smart environments, essential to make ubiquitous computing part of our everyday life.

scholarly journals Proposed Intelligent Pre-Processing Model of Real-Time Flood Forecasting and Warning for Data Classification and Aggregation

2017 ◽  
Vol 13 (11) ◽  
pp. 4 ◽  
Author(s):  
Marouane El Mabrouk ◽  
Salma Gaou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensors ◽  
Data Classification ◽  
Flood Forecasting ◽  
Base Stations ◽  
Wireless Sensor ◽  
Time Data ◽  
Forecasting And Warning

A wireless sensor network is a network that can design a self-organizing structure and provides effective support for several protocols such as routing, locating, discovering services, etc. It is composed of several nodes called sensors grouped together into a network to communicate with each other and with the base stations. Nowadays, the use of Wireless sensor networks increased considerably. It can collect physical data and transform it into a digital values in real-time to monitor in a continuous manner different disaster like flood. However, due to various factors that can affect the wireless sensor networks namely, environmental, manufacturing errors hardware and software problems etc... It is necessary to carefully select and filter the data from the wireless sensors since we are providing a decision support system for flood forecasting and warning. In this paper, we presents an intelligent Pre-Processing model of real-time flood forecasting and warning for data classification and aggregation. The proposed model consists on several stages to monitor the wireless sensors and its proper functioning, to provide the most appropriate data received from the wireless sensor networks in order to guarantee the best accuracy in terms of real-time data and to generate a historical data to be used in the further flood forecasting.

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