scholarly journals Integrated approach to revelation of anomalies in wireless sensor networks for water control cases

2021 ◽  
pp. 58-67
Author(s):  
Alexey Meleshko ◽  
◽  
Anton Shulepov ◽  
Vasily Desnitsky ◽  
Evgenia Novikova ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Integrated Approach ◽  
Wireless Sensor ◽  
Data Sets ◽  
Water Control ◽  
Analysis Techniques ◽  
Management Scenario ◽  
Software Model

This article describes an approach to revelation of anomalies for Wireless Sensor Networks (WSN). It is based on the integration of visual data analysis techniques and data mining techniques. Feasibility of the approach has been confirmed on a demo case for WSN water management scenario. For verification we developed a software/hardware prototype of the network and a software model to generate the necessary data sets for the establishment of detection models and their investigation. The experiments carried out have shown a high quality of detection, which shows the applicability of the integrated approach to revelation of anomalies for use in practical cases.

scholarly journals Quality of Service-Based Node Relocation Technique for Mobile Sensor Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Adnan Anwar Awan ◽  
Muhammad Amir Khan ◽  
Aqdas Naveed Malik ◽  
Syed Ayaz Ali Shah ◽  
Aamir Shahzad ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mobile Sensor Networks ◽  
Integrated Approach ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sink Node ◽  
Novel Technique ◽  
Multiple Sensor

Wireless sensor networks (WSNs) deployed in harsh and unfavorable environments become inoperable because of the failure of multiple sensor nodes. This results into the division of WSNs into small disjoint networks and causes stoppage of the transmission to the sink node. Furthermore, the internodal collaboration among sensor nodes also gets disturbed. Internodal connectivity is essential for the usefulness of WSNs. The arrangement of this connectivity could be setup at the time of network startup. If multiple sensor nodes fail, the tasks assigned to those nodes cannot be performed; hence, the objective of such WSNs will be compromised. Recently, different techniques for repositioning of sensor nodes to recover the connectivity have been proposed. Although capable to restore connectivity, these techniques do not focus on the coverage loss. The objective of this research is to provide a solution for both coverage and connectivity via an integrated approach. A novel technique to reposition neighbouring nodes for multinode failure is introduced. In this technique, neighbouring nodes of the failed nodes relocate themselves one by one and come back to their original location after some allocated time. Hence, it restores both prefailure connectivity and coverage. The simulations show our proposed technique outperforms other baseline techniques.

Quality of Service in Wireless Sensor Networks: A Survey and Related Patents

2011 ◽  
Vol 4 (3) ◽  
pp. 188-202 ◽  
Author(s):  
Josip Balen ◽  
Drago Zagar ◽  
Cesar Viho ◽  
Goran Martinovic
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Wireless Sensor

scholarly journals An edge-cloud collaboration architecture for pattern anomaly detection of time series in wireless sensor networks

2021 ◽  
Author(s):  
Cong Gao ◽  
Ping Yang ◽  
Yanping Chen ◽  
Zhongmin Wang ◽  
Yue Wang
Keyword(s):  
Time Series ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Anomaly Detection ◽  
Estimation Method ◽  
Feature Representation ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Data Sets ◽  
Edge Node

AbstractWith large deployment of wireless sensor networks, anomaly detection for sensor data is becoming increasingly important in various fields. As a vital data form of sensor data, time series has three main types of anomaly: point anomaly, pattern anomaly, and sequence anomaly. In production environments, the analysis of pattern anomaly is the most rewarding one. However, the traditional processing model cloud computing is crippled in front of large amount of widely distributed data. This paper presents an edge-cloud collaboration architecture for pattern anomaly detection of time series. A task migration algorithm is developed to alleviate the problem of backlogged detection tasks at edge node. Besides, the detection tasks related to long-term correlation and short-term correlation in time series are allocated to cloud and edge node, respectively. A multi-dimensional feature representation scheme is devised to conduct efficient dimension reduction. Two key components of the feature representation trend identification and feature point extraction are elaborated. Based on the result of feature representation, pattern anomaly detection is performed with an improved kernel density estimation method. Finally, extensive experiments are conducted with synthetic data sets and real-world data sets.

scholarly journals Quality of Service of Routing Protocols in Wireless Sensor Networks: A Review

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 1846-1871 ◽  
Author(s):  
Muhammad Asif ◽  
Shafiullah Khan ◽  
Rashid Ahmad ◽  
Muhammad Sohail ◽  
Dhananjay Singh
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Wireless Sensor

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 

Cross-Layer Quality of Service Approaches in Wireless Sensor Networks

2019 ◽  
pp. 267-278
Author(s):  
Ankur Dumka ◽  
Sandip K. Chaurasiya ◽  
Arindam Biswas ◽  
Hardwari Lal Mandoria
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Cross Layer
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