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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. PERFORMANCE ANALYSIS OF QOS AGAINST DIFFERENT NODE DENSITY IN WIRELESS SENSOR NETWORKS
    Hanumant Aba Pawar, Dr. Rajneeshkaur Sachdeo
    Journal of Data Acquisition and Processing, 2023, 38 (1): 287-298. 

    Abstract

    Sensor networks in terms of stations that are distributed randomly in a sensing region to record data such as temperature, humidity, and other environmental variables. Sensor networks are meant to monitor a variety of environmental characteristics and store data on a cloud server for future prediction. For improved application performance in WSNs, several design issues must be overcome, such as scalability, energy consumption, cost, channel use, and so on. Researchers must address the concerns and obstacles stated above in order to increase the network's performance. In general, source sensor nodes in WSNs collect data and deliver it to the receiving node. The size of the packet, the data transfer rate, as well as the number of sensor nodes located in the sensor area are all crucial in this scenario since node density and packet size have a direct influence on traffic and generate network congestion. In this article, we looked at network performance for various node densities and compared it to wireless sensor network QoS. Packet loss, packet send, latency, energy usage, and throughput are characteristics of quality of the service (QoS). The wsns' QoS is as follows. The results of the study illustrate how the network performs for various QoS when node density is changed from low to high. For network performance analysis, the CSMA and AODV protocols are utilized.

    Keyword

    Quality of services (QoS). Carrier sense multiple access (CSMA), Ad-hoc distance vector (AODV), delay, congestion management, and energy use.


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ISSN 1004-9037

         

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