ABSTRACT
In this paper, a new intelligent message scheduling algorithm is designed for complex Internet of Things (IoT) systems where machine to machine (M2M) and sensor to sensor (S2S) seamless communication for multi-protocol IoT system is presented. Paper also presents the usability scenario for hydroponic and vertical farming applications, where the proposed algorithm improves the reliability and performance of the IoT system. Mathematical model is developed to understand the messaging pattern and for execution of protocol queue. The middleware broker architecture facilitates the quick multiple protocol communication requests and response handling. This method provides a new approach where monitoring of farming can be executed as an unmanned monitoring system, as end-to-end system communication is managed by a proposed algorithm. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
ABSTRACT
Internet of things is a progressive terminology as a future era of computing. The covid-19 outbreak that is drawn once in a hundred years’ experience to all the mankind and so as per the saying “necessity is the mother of invention”, nearly all scientific as well as technological fields are battled to develop various verticals like drugs discovery, health care, distant education and so the major challenge of managing industry with modest human resources. To maintain countries’ economic status high, as Indian industrial domain majorly contributes to GDP growth that further needs to be kept running in any predicament. The prolonged lockdown hampered the global economy and hence, this paper focuses on the Industrial IoT, where without human assistance, many key processes can be monitored and executed. As information technology (IT) employees can work from home, industrial processes can also execute various automation tasks using process scheduler. This paper presents the new CatchPro protocol request scheduling algorithm for IIoT which can be a great solution for unmanned process execution with the performance improvement of 2.56%. Paper also presents the methodology and framework for industrial automation using MQTT protocol, where manufacturing units can efficiently work with remote monitoring and automation of processes. This paper targets the three important roles as process execution without in-person process handling, algorithmic execution for scheduling of the industrial tasks, and more efficient execution of IoT protocols for machine-to-machine communication via sensor network. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.