Planning and Predicting IoT Wireless Communication Coverage Based on Three Applications in Kuala Lumpur City

The use of Machine-to-Machine (M2M) applications is increasing in Malaysia. Internet of Things (IoT) is the driving force for M2M applications. This M2M application can create a smart environment with the application that facilitates the community. To create a smart city in Malaysia, existing problems must be solved with Low Power Area Network Technology (LPWAN). LPWAN technology consists of three leading technologies, namely LoRa, SigFox, and NB-IoT. LPWAN offers low power consumption, long battery life, long-distance low-rate transmission, and low latency and cost. This study investigates the performance coverage of the existing LPWAN communication network in Kuala Lumpur, Malaysia City based on three potential applications: traffic light management system, domestic waste disposal management system, and public transport control system. Next, plan and predict the LPWAN communication coverage network and selected M2M applications in Kuala Lumpur. The results show that LoRa technology performance is optimal for the public transport system and the domestic waste disposal management system, while for the traffic light system is Sigfox technology based on the optimal value of the link budget for each radio link (-dBm).