A cluster based fault tolerant data aggregation technique using data caching Based on WSN for Internet of Things

Sensor nodes deployed in Wireless Sensor Networks (WSNs) are battery powered. It operates at low voltage. The main challenge in WSNs is to reduce energy consumption so that it increases the lifetime of the sensor nodes. The goal is achieved by using data aggregation technique and also by selecting the appropriate routing strategy. Sensor nodes are commonly arranged in unmanned location; the security of data plays another important role. In order to provide reliable data to the destination, there are various approaches designed for security. In this paper, we analyzed the various existing approaches for data routing, data aggregation and data security.

Download Full-text

Fault-Tolerant AI-Driven Intrusion Detection System for the Internet of Things

International Journal of Critical Infrastructure Protection ◽

10.1016/j.ijcip.2021.100436 ◽

2021 ◽

pp. 100436

Author(s):

Faiza Medjek ◽

Djamel Tandjaoui ◽

Nabil Djedjig ◽

Imed Romdhani

Keyword(s):

Internet Of Things ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Fault Tolerant ◽

Detection System ◽

The Internet ◽

The Internet Of Things

Download Full-text

Performance evaluation of Distance based Angular Clustering Algorithm (DACA) using data aggregation for heterogeneous WSN

2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) ◽

10.1109/iccpeic.2016.7557231 ◽

2016 ◽

Cited By ~ 1

Author(s):

Navjot Kumar ◽

Surinder Kaur

Keyword(s):

Performance Evaluation ◽

Data Aggregation ◽

Clustering Algorithm ◽

Using Data

Download Full-text

Coding Algorithms and Network Plan for Context-Aware Data Collection Based on Internet of Things in Large Marine Ships

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.701-702.957 ◽

2014 ◽

Vol 701-702 ◽

pp. 957-960

Author(s):

Feng Xie

Keyword(s):

Internet Of Things ◽

Formal Analysis ◽

Cluster Head ◽

Communication Overhead ◽

Context Aware ◽

Sensing Data ◽

Communication Efficiency ◽

Data Volume ◽

Using Data ◽

Data Context

The equipment maintenance in large marine ships may rely on Internet of Things to provide monitoring of equipment status instantly. The data volume of sensing data is huge as the number of equipments is large. It is critical to decrease the communication overhead of uploading sensing data for efficiently and timely monitoring. In this paper, we propose several coding algorithms by using data context that is modeled by our normal forms on the base of our observations. The communication efficiency is improved, which is justified by formal analysis and rigorous proof. We also propose several network plan policies for further improvement of the communication efficiency by using data context and cluster head deployment.

Download Full-text

Completion of Chemical Reaction in Remote Locations Using Data Analytics Built on Internet of Things Platform

10.1109/i-smac52330.2021.9640994 ◽

2021 ◽

Author(s):

A. Christy ◽

M. D. Anto Praveena ◽

S. Vaithyasubramanian ◽

M.S. Roobini

Keyword(s):

Internet Of Things ◽

Chemical Reaction ◽

Data Analytics ◽

Remote Locations ◽

Using Data

Download Full-text

Metrics of Urban Form and the Modifiable Areal Unit Problem

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198105190200109 ◽

2005 ◽

Vol 1902 (1) ◽

pp. 71-79 ◽

Cited By ~ 31

Author(s):

Ming Zhang ◽

Nishant Kukadia

Keyword(s):

Data Aggregation ◽

Urban Form ◽

Mode Choice ◽

Empirical Modeling ◽

Modifiable Areal Unit Problem ◽

Areal Unit ◽

Block Level ◽

A Cell ◽

Using Data ◽

Network Pattern

There is growing interest in incorporating urban form indicators into transportation planning and travel analysis. These indicators typically are measured at a certain level of spatial aggregation (e.g., traffic analysis zone) and therefore are subject to the modifiable areal unit problem (MAUP) known primarily in the statistical and geographic literature but generally overlooked by transportation researchers. The presence of the MAUP can cause serious inconsistency in analytical results and consequently misinform policy making. This study diagnoses the MAUP in measuring urban form through empirical modeling of travel mode choice in the Boston, Massachusetts, region. Using data aggregated in grids with five cell sizes and at the transportation analysis zone, the census block group, and the block level, the study explores the sensitivity of coefficient estimates for population density, network pattern, and land use balance to data aggregation in predicting mode choice decisions. Having confirmed the presence of the MAUP, the study discusses three approaches for dealing with it. Using a grid with a cell size of 1/2 mi appears to be the most desirable method of data aggregation among the eight methods studied. The suggested improvements in methodology will help advance the inquiry on the link between urban form and travel.

Download Full-text