scholarly journals IoT Based Post Disaster Recovery System using Smartphone

2020 ◽  
Vol 9 (1) ◽  
pp. 2371-2373

In recent decade’s severe natural or artificial disaster and further geologic processes have occurred with catastrophic consequences. Timely it should be detected and make it recovery. So, in this paper, we had proposed a multiterrain robot and other software systems to ease the detection. As the demand for multi-terrain robot applications are increasing significantly. This robot can be deployed for the use of assured future surveillance and extricate purposes in the isolated areas. In isolated areas robot stability will be challenging task due to varied terrain. A new design is propounded for the mobile robot which aims to execute monitoring performances while travelling on terrain types in balanced way. A chain-wheeled multi-terrain robot has been evolved which has ability to run in rough and unmanned surfaces.

2020 ◽  
Vol 21 (3) ◽  
pp. 391-406
Author(s):  
Madhavi Devi B ◽  
Smriti Agrawal ◽  
R. Rajeshwara Rao

Disasters are inevitable, but their impact can be mitigated with careful planning. An IoT-based network with limited resources can be used in the post-disaster recovery. However, the resource of common interest creates contention among its contenders. This contention leads to tussle which in turn may lead to a deadlock. Some of the existing techniques prevent or avoid deadlock by performing stringent testing with significant testing overhead. While others propose recovery action after the deadlock is detected with significant overhead. A deadlock leads to a breakdown of the post-disaster recovery system while testing overhead implies delayed response either case can lead to catastrophic losses. This paper presents a new class of techniques that do not perform stringent testing before allocating the resources but still ensure that the system is deadlock-free and the overhead is also minimal. The proposed technique suggests reserving a portion of the resources to ensure no deadlock would occur. The correctness of the technique is proved in the form of theorems. The average turnaround time is approximately 18%  lower for the proposed technique over Banker’s algorithm and also an optimal overhead of O(m).  


2015 ◽  
Vol 8 (11) ◽  
pp. 325-336
Author(s):  
Yongjian Ren ◽  
Jiaolong Ye ◽  
Jilin Zhang ◽  
Li Zhou ◽  
Jue Wang ◽  
...  

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