Learning automata–based multilevel medium access control in cyber physical system–based smart wireless networks

Summary The performance of cyber physical system–based smart wireless networks depends on effective channel access by reducing the blocking, the dropping probability, and collisions. The aim of this proposed algorithm is to reduce the collisions in cyber physical system–based smart wireless networks. In this paper, multilevel medium access control in cyber physical system–based smart wireless networks is proposed. The optimal number of levels of gateways is determined using the concept of learning automata. Priority and time limit are assigned to every packet that is being transmitted. The proposed algorithm is evaluated and compared with two‐level medium access control in cyber physical system–based smart wireless networks, which is referred as priority with counter modified backoff (PCMB). The parameters used for evaluating the performance are throughput, delay, % of collisions, and number of packets dropped. The results project that the proposed algorithm accomplishes improved performance than PCMB. In this paper, multilevel medium access control in cyber physical system–based smart wireless networks is proposed. The optimal number of levels of gateways is determined using learning automata. Priority and time limit are assigned to every packet that is being transmitted. The parameters used for evaluating the performance are throughput, delay, % of collisions, and number of packets dropped. The results project that the proposed algorithm accomplishes improved performance than PCMB.