A Novel Grouping Mechanism for DSMEMAC Mode

Research Scholar, Department Of Instrument Technology, Andhra University, Vsp, India ,K Suresh,Associate Professor ,Department Of Instrument Technology, Andhra University, Vsp, India ,M.Ramesh Patnaik

doi:10.35940/ijeat.c5104.049420

Research Scholar, Department Of Instrument Technology, Andhra University, Vsp, India , K Suresh + Show 2 more

Open Access

https://doi.org/10.35940/ijeat.c5104.049420

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Abstract

IEEE 802.15.4e introduces deterministic and Synchronous multi-channel extension (DSME) MAC mode to provide deterministic performance. To do so, the super frame structure is divided into multiple contention access slots and contention free slots. However, the standard does not specify the number of devices to access each DSME slots. In this article, we exploit fuzzy logic to group the devices based on the nature of traffic and vary the duration of DSME slot according to the traffic requirements of the devices. Further, we analytically evaluate the collision probability, throughput, energy consumption and delay of DSME mechanism. Results show that the optimal amount of DSME slots associated with fuzzy logic significantly improves efficiency and reduces energy usage.. Finally, extensive simulations are conducted using ns-3 to validate the analytical results.

Highlights

With the increase in low cost and low power wireless sensor devices, green communication has revolutionized the Internet of Things (IoT)[1]
The Fuzzy Logic Systems (FLS) in this segment utilizes Fuzzy C-means (FCM) clusters to cluster the equipment with identical communication specifications and to assign each category a Deterministic and Synchronous multi-channel Extension (DSME) slot with a length that differs according to system communication criteria
We take into consideration a network size of g=256 machines in which K=32 is the maximum number of DSME slots

Summary

INTRODUCTION

With the increase in low cost and low power wireless sensor devices, green communication has revolutionized the Internet of Things (IoT)[1]. Few of the standards recognized by IEEE 802.15.4 are ZigBee, IETF 6LoWPAN, Wireless HART and ISA100.11a because of their low power consumption [2,4]. It operates in 2.4GHz of ISM bands. As the available channel time in IEEE 802.15.4 is common to all the devices, there is a performance degradation due to severe contention. The following article is used to associate systems with identical communication criteria and allocates each category to a DSME slot the length of which differs as per device propagation conditions, using a fuzzy c-means (FCM) clustering algorithm. The DSME conceptual model's performance, energy usage and latency are studied with a basic but reliable research method

FCMMETHOD

ANALYSIS

PERFORMANCE EVALUATION

CONCLUSION