Congestion Control for Better Performance of WSN Based IoT Ecosystem using KHA Mechanism
Shiv. H. Sutar1, Y. Bevish Jinila2

1Shiv. H. Sutar, Research Scholar, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Y. Bevish Jinila, Associate Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 19 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 567-570 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11040782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1104.0782S319
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Abstract: Since last two decades, Wireless Sensor Network and Mobile Communication success rate is raised too high and demanding for overall communication network as it consists of heterogeneous wireless networks. These networks provides universal wireless access change, also provide dynamic scheduling between devices, networks and whole world for communication. It is applicable for prominently highly demanding domains like medical devices, sensors used for military applications, smart buildings, societies, and cities so on. At the same time new technological domain named IoT (Internet of Things) is making high impact on communication domain. It is an integration of several technologies. It is interchangeably can also be used as Wireless Sensor Network only the difference is that the IoT devices and networks has limited storage and computing capabilities and works on the internet. As IoT Ecosystem and WSN used for numerous Computation, Communication over the internet which ultimately increased network traffic and leads to congestion in the network which affects the Quality of Service (QoS) parameters of the network. In this paper, a novel method is proposed to handle the increased network traffic and Congestion network using the Krill Herd Aggregation Mechanism.
Keywords: Wireless Sensor Network, IoT, QoS, Congestion, Krill Herd Aggregation, Fitness Function.
Scope of the Article: IoT