Evaluating the performance of low-energy personal area networks

Abstract

The Internet of Things (IoT) presents a significant challenge to the scientific research community and has recently garnered considerable research attention. Due to limited power, bandwidth, memory, and processing resources, the high data traffic density in LOWPAN networks causes congestion, leading to a significant decrease in network performance and negatively impacting quality of service. This results in packet loss, increased power consumption, and reduced throughput. The methodology involves identifying lost packets in the network. The Cooja simulator was used to identify lost packets in the buffer by varying the number of terminal nodes, different buffer sizes, and under varying loads. Specific probabilistic models were then defined to determine the behavior of the curves. The study was limited to an intermediate node and a single root node, which simplified the methodology and facilitated the extraction of results. The number of received packets increases by decreasing the number of peripheral packets in the network and increases with the increase in the size of the register in the peripheral nodes, in addition to increasing the load of the nodes until it reaches a specific value, at which point the number of received packets decreases with the increase in the load of the peripheral nodes due to congestion and flooding of registers in the peripheral nodes and the intermediate node.