scholarly journals Efficient Payload Compression in IP-based Wireless Sensor Network: Algorithmic Analysis and Implementation

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Md. Motaharul Islam ◽  
Ngnamsie N. Soualihou ◽  
Arham A. Siddiquee
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Health Monitoring ◽  
Critical Infrastructure ◽  
Traditional Approach ◽  
Wireless Sensor ◽  
Intermediate Node ◽  
Double Compression ◽  
Algorithmic Analysis ◽  
Infrastructure Health

Due to its efficiency in end-to-end communication, wireless sensor network based on the Internet protocol (IP-WSN) is used for monitoring purposes. Nowadays, the concerned agencies are giving their highest priority to monitor its critical infrastructure. Infrastructure health monitoring is the measure of estimating the state of infrastructure health or detecting the changes in structures that affect its performance. The traditional approach to monitor the infrastructure health is done by using centralized data acquisition hub. Installation and commissioning of these systems represent significant concerns, thus moving toward IP-WSN. As cost effectiveness and energy efficiency are major concerns, our proposed approach is to reduce the amount of overhead while keeping the infrastructure health monitoring system accurate. Our contribution in this paper is to reduce the amount of data to be transmitted by compressing the payload of the packets. Thus, we have proposed a double compression algorithm. In this way, the capacity of the sensor node will be increased since less time will be taken to transmit data between the intermediate node as well as the coordinator node. As a consequence, it will also extend the lifetime of the battery.

scholarly journals Structural Health Monitoring by Payload Compression in Wireless Sensors Network: An Algorithmic Analysis

2018 ◽  
Vol 8 (3) ◽  
Author(s):  
Md Motaharul Islam ◽  
Ngnamsie Njimbouom Soualihou ◽  
Safi Faizullah
Keyword(s):  
Wireless Sensor Network ◽  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Traditional Approach ◽  
Arithmetic Coding ◽  
Huffman Coding ◽  
Wireless Sensor ◽  
Structural Health ◽  
Algorithmic Analysis

Structural health monitoring is the fact of estimating the state of structural healthor detecting the changes in structure that affect its performance. The traditional approach to monitor the structural health is by using centralized data acquisition hub wired to tens or even hundreds of sensors, and the installation and maintenance of these cabled systems represent significant concerns, prompting the move toward wireless sensor network. As cost effectiveness and energy efficiency is a major concern, our main interest is to reduce the amount of overhead while keeping the structural health monitoring accurate. Since most of the compression algorithm is heavy weight for wireless sensor network with respect to payload compression, here we have analyzed an algorithmic comparison of arithmetic coding algorithm and Huffman coding algorithm. Evaluation shows that arithmetic coding is more efficient than Huffman coding for payload compression.

Research on WSNs Topology and Application of Lightning Monitoring in Distribution Lines

2012 ◽  
Vol 433-440 ◽  
pp. 5573-5578
Author(s):  
Tie Liu Wang ◽  
Si Lei Shen ◽  
Jun Jie Wang
Keyword(s):  
Wireless Sensor Network ◽  
Fault Diagnosis ◽  
Sensor Network ◽  
Health Monitoring ◽  
Routing Protocol ◽  
Power Efficiency ◽  
Wireless Sensor ◽  
Environmental Sampling ◽  
Distribution Lines ◽  
Distribution Line

Wireless Sensor Network (WSN) is used for such tasks as surveillance, widespread environmental sampling, security, and health monitoring widely. In this paper, a WSNs topology is proposed for lightning monitoring of distribution lines, which decides the number of nodes, routing protocol and power efficiency. The WSNs is deployed along the distribution line with nodes mounted on tall towers, which is used to monitor the lightning activities and accomplish fault diagnosis. At last, a monitoring system based on WSN is fabricated.

scholarly journals An Exploration of Current Data Agglomeration Technique in Wireless Sensor Network

2020 ◽  
Vol 9 (5) ◽  
pp. 732-746
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Base Station ◽  
Current Data ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Communication Process ◽  
Wireless Sensor ◽  
Intermediate Node ◽  
Process Energy

Wireless sensor network plays prominently in various applications of the emerging advanced wireless technology such as smart homes, Commercial, defence sector and modern agriculture for effective communication. There are many issues and challenges involved during the communication process. Energy conservation is the major challenging matter and fascinates issue among the researchers. The reason for that, Wireless sensor network has ‘n’ number of sensor nodes to identify and recognize the data and send that data to the base station or sink through either directly or intermediate node. These nodes with poor energy create intricacy on the data rate or flow and substantially affect the lifespan of a wireless sensor network. To decrease energy utilization the sensor node has to neglect unnecessary received data from the neighbouring nodes prior to send the optimum data to the sink or another device. When a specific target is held in a particular sector, it can be identified by many sensors. To rectify such process this paper present Data agglomeration technique is one of the persuasive techniques in the neglecting unnecessary data and of improves energy efficiency and also it increases the lifetime of WSNs. The efficacious data aggregation paradigm can also decrease traffic in the network. This paper discussed various data agglomeration technique for efficient energy in WSN.

scholarly journals Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico

2021 ◽  
Author(s):  
O. Mendoza-Cano ◽  
R. Aquino-Santos ◽  
J. López-de la Cruz ◽  
R. M. Edwards ◽  
A. Khouakhi ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Web Application ◽  
Critical Infrastructure ◽  
Open Data ◽  
Wireless Sensor ◽  
Tropical Storms ◽  
Essential Information ◽  
Flood Monitoring

Abstract Urban flooding is one of the major issues in many parts of the world, and its management is often challenging. One of the challenges highlighted by the hydrology and related communities is the need for more open data and monitoring of floods in space and time. In this paper, we present the development phases and experiments of an Internet of Things (IoT)-based wireless sensor network for hydrometeorological data collection and flood monitoring for the urban area of Colima-Villa de Álvarez in Mexico. The network is designed to collect fluvial water level, soil moisture and weather parameters that are transferred to the server and to a web application in real-time using IoT Message Queuing Telemetry Transport protocol over 3G and Wi-Fi networks. The network is tested during three different events of tropical storms that occurred over the area of Colima during the 2019 tropical cyclones season. The results show the ability of the smart water network to collect real-time hydrometeorological information during extreme events associated with tropical storms. The technology used for data transmission and acquisition made it possible to collect information at critical times for the city. Additionally, the data collected provided essential information for implementing and calibrating hydrological models and hydraulic models to generate flood inundation maps and identify critical infrastructure.

scholarly journals False Data Filtering Strategy in Wireless Sensor Network Based on Neighbor Node Monitoring

2017 ◽  
Vol 13 (03) ◽  
pp. 174
Author(s):  
Haishan Zhang ◽  
Xinchun Wang ◽  
Chenghui Jia
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Simulation Experiment ◽  
Wireless Sensor ◽  
Network Node ◽  
Malicious Node ◽  
Data Filtering ◽  
Font Size ◽  
Network Resources ◽  
Intermediate Node

<span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;">The injection attack of false data is a common attack form in wireless sensor network. This attack form achieves the purpose of consuming limited network resources and severely threatens the safety of wireless sensor network through consistent sending false data. This paper proposes a type of false data filtering strategy based on neighbor node monitoring. The idea of this strategy is to enable each node to store the neighbor node's information within the two-hop range. In the meantime, the data package determines whether the upstream node is original node or data forwarding intermediate node through whether ACK package is remitted by the upstream node to avoid the impersonation of wireless sensor network node by malicious node. The false data package of malicious node will be filtered within one hop. The simulation experiment verifies the filtering performance and anti-capture performance of this strategy, thus guaranteeing the safety of wireless sensor network.</span>

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