Preparedness for managing pandemic using distributed mobile brokers – Using COVID 19 use case

Abstract

The human community has experienced the worst disaster during this pandemic spread of COVID-19. Getting essential services viz., medical, food, water, and oxygen support have been challenging during the pandemic. People suffer inadequate essential services during these lockdowns and quarantines. This paper proposes a distributed mobile broker service using the MQTT protocol for managing and accessing essential services during a pandemic. The proposed method splits the city into areas. The essential service providers register their services with the publishers and the essential service seekers seek their services from the publishers using mobile brokers. The mobile broker is also equipped with data aware trajectory planning technique that considers collecting data from available nodes with less delay. The proposed technique has been tested under two scenarios viz., mobile brokers, fixed subscribers, and mobile brokers, mobile subscribers. The performance analysis has been carried out in terms of delay and packet delivery ratio with fixed broker conditions.

Integration of ML Techniques for Early Detection of Breast Cancer: Dimensionality Reduction Approach

“…The use of Internet of Things (IoTs) devices has become a necessity in our lives today, especially in the fields of health care [13]. In the same context, the increasing volume of data generated needs to be reduced to facilitate the transfer process to applications and cloud centers for the purpose of processing and analysis [14].…”