Fine Tuning Distributed Divergecast Scheduling Algorithms in IEEE 802.1S.4e TSCH for Internet of Everything

The concept of the Internet of Everything (IoE) is an area of great interest, with a lot of attention. The fact that it is used in almost all areas makes this concept progress much faster. The devices used in the environments of this concept are required to be minimal in terms of hardware as well as their energy consumption. Although there are different ways of minimizing energy consumption in these devices, one of the most promising protocols that provide mentioned demands is the IEEE 802.15.4e Time Slotted Channel Hopping (TSCH) Medium Access Control (MAC) protocol. This protocol runs on 802.15.4 radio and requires a communication schedule for MAC. How and when these schedules, updates and maintenance will take place are not covered by this protocol. Several solutions are available in the literature to solve these problems. Distributed divergecast Aloha based scheduling and DIVA scheduling algorithms are two of these solutions. Both algorithms make their scheduling according to certain probability calculations. Changing the values of these probability calculations is a novel research with evaluation results in this paper. The aim of this study is to examine the effect of the change in the related probability variables on the performance and try to find the best possible values. It has been observed that the changes in these calculation values have an effect on network converge time.