IEEE Access (Jan 2019)

Mobile-Controlled UAVs for Audio Delivery Service and Payload Tracking Solution

  • Kamran Ahsan,
  • Sana Irshad,
  • Muhammad Abid Khan,
  • Sana Ullah,
  • Sarwat Iqbal,
  • Muhammad Saeed,
  • Sohaib Ahmed,
  • Osama Rehman

DOI
https://doi.org/10.1109/ACCESS.2019.2944262
Journal volume & issue
Vol. 7
pp. 149672 – 149697

Abstract

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Unmanned Aerial Vehicles are self-driving vehicles in robotic technology, which are in incremental demand for transportation. In this paper, re-engineering the UAVs model for payload delivery service to enhance the feature of tracking, communication of recorded audio voices, and enlarging of new process to deliver a partial control of the UAVs especially for the customers is being discussed. In the present study, integration of UAVs and mobile technology has been adopted for re-engineering of the UAV based delivery process. The fundamental approach of the present study is to involve the customer in the entire process of payload delivery under effective coordination to provide customer-oriented functionality which will improve the customer encounter in logistics operations. People don't get to visit his/her loved one's grave due to lack of time, busy schedule or traffic congestion. Visiting of graveyard is unfriendly for elderly too because of their health issues. Today, by the coordination of developed sensor and IT innovation, visiting of graveyard has become simple. To be perfect and reasonable, artifacts of the proposed model can easily be implemented for the virtual visiting of graveyard. By utilization of the proposed model, individuals and particularly elderly or women can easily visit the loved one's grave from the comfort of their home by watching ongoing recordings of the blooming activity on grave or tomb. Furthermore people can send recorded audio, voice message or Quran recitation from his/her registered mobile app at the graveyard. The proposed model is evaluated by conducting survey-based quantitative research approach based on the Delphi method. The performance of the model is analyzed by the goodness-of-fit (Chi-square) test. The inspection of the overall outcome against the re-engineering model and its provided service efficiency has a greater impact of acceptance.

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