Abstract
ABSTRACTIn the present era, rapid transits are one of the most affordable means of public transport with various useful integrated application systems. The majority of the integrated applications are deployed in concern over safety and precautionary measures against the worst side-effects of unfortunate emergencies. For such cases, high-end reliable and autonomous systems provide possible positive solutions. Wireless Sensor Network is one of the suitable choices for rapid transit applications to gain positive results with inexpensive implementation cost. However, managing few network consequences like fault tolerance, energy balancing and routing critical informative packets are considered to be the challenging task due to their limited resource usage restriction. In this paper, a novel fuzzy logic-based fault tolerance and instant synchronized routing technique have been proposed specifically for the rapid transit system. On utilizing the fuzzy logic concepts, most of the computational complexities and uncertainties of the system is reduced. The central thematic of the proposed design is concerned over the synchronized routing and permanent faults which abruptly depicts the non-functional nature of the sensor nodes during normal operations. Moreover, our proposed simulation outcomes proved to be improvised evidence on obtaining maximum packet delivery ratio which tends to handle an emergency situation in the compartments of rapid transits.
Highlights
Now-a-days RTS turned to be most efficacious transit system all around the world
As to deal with the requirements as mentioned above, WSN [1] is a suitable option which is capable of continuous monitoring of environmental aspects and sharing the sensed data using the group of autonomous sensors
We evaluate the network consequences based on two aspects
Summary
Now-a-days RTS turned to be most efficacious transit system all around the world. Due to the fastest mode of transportation, the expected minimum guarantee benchmark on passengers safety during emergency situations like derailing or any unfortunate mishap are not standardized. Incorporating fuzzy logic concepts in WSN applications provide an intelligent autonomous decision-making privilege and stabilize the control systems during risky situations, especially on emergency cases. The primary thematic of this paper is to deal with the permanent faults and synchronized routing in WSN, which plays the vital role during unanticipated emergencies of RTS (mishap, firing accidents in interior cabins, etc.). Our proposed system provides maximum faulttolerance capability and packet delivery ratio in the event of packet routing.
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