Performance Enhancement of IEEE 802.15.4e Deterministic and Synchronous Multi-Channel Extension

Abstract

Deterministic and Synchronous multi-channel extension (DSME) is introduced to improve the network performance by providing dedicated slots. Thus, the network is divided into various slots to access the channel in the dedicated slots allocated to them. However, choosing the DSME slots is one of the major challenging tasks. In this article, we use fuzzy logic to estimate the optimum count of DSME slot per super frame by considering network size, collision probability, and modulation and coding schemes. Further, we analytically evaluate the collision probability, throughput, energy consumption and delay of DSME mechanism. Results show that the optimal number of DSME slots found using fuzzy logic significantly enhances the throughput and decreases the energy consumption. Finally, extensive simulations are conducted using ns-3 to validate the analytical results.