Abstract
Heterogeneous constrained computing resources in the Internet of Things (IoT) are communicated, collected, and share information from the environment using sensors and other high-speed technologies which generate tremendous traffic and lead to congestion in the Internet of Things (IoT) networks. This paper proposes an Adaptive Congestion Window (ACW) algorithm for the Internet of Things. This algorithm is adapted to the traffic changes in the network. The main objective of this paper is to increase the packet delivery ratio and reduce delay while enhancing the throughput which can be attained by avoiding congestion. Therefore, in the proposed algorithm, the congestion window size is depending on the transmission rate of the source node, the available bandwidth of the path, and the receiving rate of the destination node. The congestion window size is altered when the link on the path needs to be shared/released with/by other paths of different transmission in the network. The proposed algorithm, ACW is simulated, evaluated in terms of packet delivery ratio, throughput, and delay. The performance of the proposed algorithm, ACW is compared with IoT Congestion Congrol Algorithm (IoT-CCA) and Improved Stream Control Transmission Protocol (IMP-SCTP) and proved to be better by 27.4%, 11.8%, and 33.7% than IoT-CCA and 44.1%, 22.6%, and 50% than IMP-SCTP concerning packet delivery ratio, throughput, and delay respectively. The variation in congestion window size with time is also projected.
Highlights
Internet of Things (IoT) is emerging technologies where it connects and shares information globally from kitchen set to cars to industrial tools target to interrelate and incorporate the physical world and information technology
IoT is the source for every industry to stand in the market and every industry realize that IoT is the key for development in the industries using various IoT technologies like Industrial Internet of Things (IIoT), Internet of Logistics Things (IoLT), Internet of Retail Things (IoRT), Internet of Workforce Management (IoWM) and Internet of Medical Things (IoMT)
The parameters used to evaluate the performance of the proposed Adaptive Congestion Window (ACW) algorithm are throughput, packet delivery ratio, and delay for time and congestion window size
Summary
Internet of Things (IoT) is emerging technologies where it connects and shares information globally from kitchen set to cars to industrial tools target to interrelate and incorporate the physical world and information technology. IoT is the source for every industry to stand in the market and every industry realize that IoT is the key for development in the industries using various IoT technologies like Industrial Internet of Things (IIoT), Internet of Logistics Things (IoLT), Internet of Retail Things (IoRT), Internet of Workforce Management (IoWM) and Internet of Medical Things (IoMT) With these technologies, IoT has an extensive application including smart cities, smart homes, smart communities, utilities and appliances, intelligent transportation, industrial production, E-health, military and environmental monitoring. To acquire the information from various devices of the world, IoT uses capabilities of computing, communication, and perception by utilizing actuators and sensors. These sensors, actuators, or any physical device can be smart objects with the ability to sense, collect data from the environment, communicate and interact with these physical objects. The objective of IoT is to construct our everyday social lives to be simple [1]
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