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

View Article: PubMed Central - PubMed

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.

No MeSH data available.


Location estimation and dynamic frame time in MMAC (redrawn from [19]).
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sensors-17-00435-f002: Location estimation and dynamic frame time in MMAC (redrawn from [19]).

Mentions: Mobility adaptive collision free MAC for mobile sensor networks (MMAC) [19] was based on time division scheduling and designed to be suitable for both high and low mobility environments. At the beginning of each frame, all the nodes predict their position in the next frame and send this estimated location information to their cluster head. The cluster heads that never go to sleep collect the estimated location information of all member nodes and broadcast collected information to their member nodes. Each member node suggests its frame duration based on the collected location information and sends its decision to the cluster head. The cluster head adjusts according to member node requests as shown in Figure 2.


A Mobility-Aware Adaptive Duty Cycling Mechanism for Tracking Objects during Tunnel Excavation
Location estimation and dynamic frame time in MMAC (redrawn from [19]).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5375721&req=5

sensors-17-00435-f002: Location estimation and dynamic frame time in MMAC (redrawn from [19]).
Mentions: Mobility adaptive collision free MAC for mobile sensor networks (MMAC) [19] was based on time division scheduling and designed to be suitable for both high and low mobility environments. At the beginning of each frame, all the nodes predict their position in the next frame and send this estimated location information to their cluster head. The cluster heads that never go to sleep collect the estimated location information of all member nodes and broadcast collected information to their member nodes. Each member node suggests its frame duration based on the collected location information and sends its decision to the cluster head. The cluster head adjusts according to member node requests as shown in Figure 2.

View Article: PubMed Central - PubMed

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.

No MeSH data available.