A Mobility-Aware Adaptive Duty Cycling Mechanism for Tracking Objects during Tunnel Excavation.

Taesik Kim,Jinman Jung,Hong Min

doi:10.3390/s17030435

Taesik Kim, Jinman Jung + Show 1 more

Open Access

https://doi.org/10.3390/s17030435

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Abstract

Tunnel construction workers face many dangers while working under dark conditions, with difficult access and egress, and many potential hazards. To enhance safety at tunnel construction sites, low latency tracking of mobile objects (e.g., heavy-duty equipment) and construction workers is critical for managing the dangerous construction environment. Wireless Sensor Networks (WSNs) are the basis for a widely used technology for monitoring the environment because of their energy-efficiency and scalability. However, their use involves an inherent point-to-point delay caused by duty cycling mechanisms that can result in a significant rise in the delivery latency for tracking mobile objects. To overcome this issue, we proposed a mobility-aware adaptive duty cycling mechanism for the WSNs based on object mobility. For the evaluation, we tested this mechanism for mobile object tracking at a tunnel excavation site. The evaluation results showed that the proposed mechanism could track mobile objects with low latency while they were moving, and could reduce energy consumption by increasing sleep time while the objects were immobile.

Highlights

There are a variety of types of civil engineering structures such as bridges, dams, embankments, roads, canals, slopes, and tunnels
We evaluate the performance by comparing it with the periodic duty cycling mechanism under various mobility conditions
The dump typically moves inside of the evaluation the proposed duty cycling it was truck assumed that the condition tunnel excavation site at the speed of km/h, and it takes about minutes to load a truck

Summary

Introduction

There are a variety of types of civil engineering structures such as bridges, dams, embankments, roads, canals, slopes, and tunnels. 30 workers died in 56 work accidents during the interval mentioned, and the cost of the damage was approximately three million dollars. This was the greatest damage among all civil construction accidents. WSNs can reduce this accident by providing real-time location tracking and information sharing In these kinds of applications, saving energy of self-powered sensor nodes is one of the critical issue because it is difficult and time-consuming process to detect the battery problem they are located where the operator can access them

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