scholarly journals An Efficient Analysis on Performance Metrics for optimized Wireless Sensor Network

2016 ◽  
Vol 3 (9) ◽  
pp. 186-200
Author(s):  
S. Padma Priya
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Performance Metrics ◽  
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. 

scholarly journals Performance assessment of static and dynamic routings using 6LoWPAN on small scenarios applied to monitoring of Barranquilla flash flood

2021 ◽  
Author(s):  
Piñeres -Espitia Gabriel ◽  
shariq aziz butt ◽  
Estévez -Ortiz Francisco ◽  
Cama -Pinto Alejandro
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Performance Metrics ◽  
Task Force ◽  
Flash Flood ◽  
Smart Cities ◽  
Wireless Sensor ◽  
The Internet ◽  
Personal Area Networks

Abstract The Internet of Things (IoT) is growing rapidly due to the wireless network that provides connectivity to devices at anytime and anywhere. Currently, the wireless sensor network is involved in many research fields like smart health monitoring, smart cities, and smart industries. From all of these, flood monitoring is the most important field in the IoT wireless network to alert about the occurrence of any abnormalities. To monitor the environment wireless sensor network needs a decision-making protocol that sense and route the information timely. The present work includes numerous use of Low Power Wireless Personal Area Networks (6LoWPAN) with IPv6 protocol defined by the Internet Engineering Task Force (IETF) due to its different test conditions, analysing static and dynamic routing and its impact on different performance metrics such as latency and packet losses for their application in monitoring system of the flash floods in any region. In this study, we are using IPv6 6LoWPAN to develop a wireless warning system before a flood event in “The Brigade” in Barranquilla city. The basic purpose for making system is to secure the city from costly damage and life loss. Different types of traffic and different 1-/2-hops scenarios have been considered. In order to implement our system, we use the well-known TelosB platform jointly with TinyOS, BLIP 2.0 and LPL. The experiment result shows that time on 512 ms and 1024 ms with a packet of 120 B obtain good performance on the metrics used for the tests.

scholarly journals An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
C. Vimalarani ◽  
R. Subramanian ◽  
S. N. Sivanandam
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Clustering Algorithm ◽  
Performance Metrics ◽  
Energy Optimization ◽  
Pso Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Area ◽  
Energy Conservation Measures

Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and various military applications. Mostly sensor nodes are equipped with self-supported battery power through which they can perform adequate operations and communication among neighboring nodes. Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.

Intelligent System for Intrusion Detection in Internet of Things-Wireless Sensor Network (IoT-WSN) Smart Environment

2021 ◽  
Author(s):  
Gauri Kalnoor ◽  
Gowrishankar S
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Performance Metrics ◽  
Intelligent System ◽  
Research Work ◽  
Wireless Sensor ◽  
Network Systems ◽  
Set Up ◽  
The Internet Of Things

Abstract Technology, as we know, has aided in the growth of humankind since its advent. Due to this advance, a new computation and communication surrounded such as the Internet of Things (IoT) has entered the scene. Much research work is being done in the area of IoT which aids the overall advancement of society and marks life simpler and more agreeable. Yet, in the asset restricted surrounding of Wireless Sensor Network (WSN) and IoT, it is practically incomprehensible to build up a totally safe framework. so we move quick, innovation turns out to be progressively powerless against security hazards. Later on, the quantity of individuals associated with the web will be not as much as that of powerful articles, so we need to set up a vigorous framework to keep the previously mentioned conditions safe and normalize it for smooth correspondence between IoT objects. In this audit archive, refinements of the relevant threat model for the safety of WSN and IoT- based correspondences are given. The security prerequisites and different potential attacks in WSN-based and IoT-based correspondence conditions are examined likewise. At that point refinements of various designs of correspondence conditions dependent on WSN and IoT are also given. Next, the ongoing concerns and moves related to WSN and IoT are discussed. A logical arrangement of security and assurance defending shows in WSN and IoT is moreover included. Lastly, some investigation incites that should be tended to soon is also presented in this article. The integrated IoT- WSN with performance metrics is tabulated to show the possibilities of securing the network systems.

Cross-Layer Cooperative Protocol for Industrial Wireless Sensor Network

2017 ◽  
pp. 218-241
Author(s):  
Bilal Muhammad Khan ◽  
Rabia Bilal
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Performance Metrics ◽  
Data Communication ◽  
Reliable Data ◽  
Wireless Sensor ◽  
Harsh Environment ◽  
Cross Layer ◽  
Minimum Delay ◽  
Industrial Wireless Sensor Network

Robustness and reliability are two essential network parameters to be given priority in Industrial Wireless Sensor Network. But at the same time it is difficult to achieve gain in these performance metrics. Since in industries these networks are used for monitoring, control and automation processes, therefore, it also requires robust communication with minimum delay. Considering the need of high QoS in Industrial WSN, protocols and standards were developed to fulfil the requirement of reliable data communication in harsh environment. In year 2007, HART community designed a Wireless HART standard for efficient industrial communication. This standard gain high reputation soon after its implementation and still being used as a universal solution for industries. In 2009, another standard ISA100.11a was developed, it also gives promised results but fails to eliminate WHART. Both these standards are still competing in industry and the results of these standards are more reliable in comparison to other wireless industrial protocols that exists.

Comparison of Image Compression Methods for Image Transmission Over Wireless Sensor Network

2019 ◽  
Vol 16 (9) ◽  
pp. 3912-3916 ◽  
Author(s):  
Rekha Dalia ◽  
Rajeev Gupta
Keyword(s):  
Wireless Sensor Network ◽  
Image Compression ◽  
Sensor Network ◽  
Compression Ratio ◽  
Performance Metrics ◽  
Cost Effective ◽  
Image Transmission ◽  
Wireless Sensor ◽  
Compression Time ◽  
Image Compression Algorithm

Unlike conventional networks, in Wireless Sensor Network the nodes have constrained energy, memory and processing capabilities. These nodes deployed in a constrained environment monitor any changes in surrounding environment and transfer the changes to the cluster heads. Each node has its own memory, battery, and transceivers. Efficient utilization of these resources can result in the enhancement of network lifetime. In order to securely transfer the data in the form of images, an efficient and cost effective image compression algorithm is required. Hence, in this paper, a detailed review of image compression algorithms has been carried out. The selected algorithms are compared in terms of various performance metrics such as compression ratio, compression time, speed, type of data, etc. The results showed that algorithm proposed by Borici and Arber is the best in case of compression ratio, as it provides better compression ratio in comparison to other algorithms.

A Dynamic Routing Path Reduction Protocol in Underwater Wireless Sensor Network

2020 ◽  
Vol 18 (5) ◽  
pp. 379-388
Author(s):  
N. Hemavathy ◽  
S. Sudha ◽  
K. Ramesh
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Performance Metrics ◽  
Routing Algorithm ◽  
Opportunistic Routing ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Forwarding Set

Recently, underwater wireless sensor networks (UWSNs) have emerged as a promising networking technique for various underwater applications. An energy efficient routing protocol plays a vital role in data transmission and practical applications. However, due to the specific characteristics of UWSNs, such as dynamic structure, narrow bandwidth, rapid energy consumption, and high latency, it is difficult to build routing protocols for UWSNs. In this paper, We propose a location aware opportunistic routing algorithm for under water communication. We analyse three main problems in under water communication; forwarding set selection forwarding set ranking to handle FSR problem, void handling method to handle the communication void (CV) and overhear and suppression procedure to deal with duplicate forwarding suppression (DFS) problems. The importance of the work is that it will provide an energy efficient pressure based opportunistic routing algorithm for wireless sensor network (UWSN). The routing protocol has been implemented in the ns2-AqaSim simulator and testbed for measurement of the performance metrics of the UASN. The simulation results showed that the novel routing method throughput has increased by 16%, 33%, and 55% when compared with SUN, VBF and DF method. It can effectively improve the throughput of nodes, balance positioning performance as well as energy use efficiency, and optimize the positioning result of UWASN.

Wireless Sensor Network Protocols, Performance Metrics, Biosensors, and WSN in Healthcare

2020 ◽  
pp. 86-108
Author(s):  
Sumathi V.
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Computer Engineering ◽  
And Performance ◽  
Application Fields

Wireless network led to the development of Wireless Sensor Networks (WSNs). A Wireless sensor network is a set of connected devices, sensors, and electronic components that can transmit the information collected from an observed field to the relevant node through wireless links. WSN has advanced many application fields. It can change any kind of technology that can modify the future lifestyle. WSNs are composed of tiny wireless computers that can sense the situation of atmosphere, process the sensor data, make a decision, and spread data to the environmental stimuli. Sensor-based technology has created several opportunities in the healthcare system, revolutionizing it in many aspects. This chapter explains in detail wireless sensor networks, their protocol, and performance metrics. The impact and role of the Biosensor in a wireless sensor network and healthcare systems are depicted. The integration of the computer engineering program into the WSNs is addressed.

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