Search and rescue operation in flooded areas: A survey on emerging sensor networking-enabled IoT-oriented technologies and applications

• Main Authors: Hasan, Md. Munirul, Rahman, Md. Arafatur, Sedigh, Arya, Khasanah, Ana U., Asyhari, A. Taufiq, Tao, Hai, Suraya, Abu Bakar
• Format: Article
• Language: English
• Published: Elsevier 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/31544/1/Search%20and%20rescue%20operation%20in%20flooded%20areas.pdf; http://umpir.ump.edu.my/id/eprint/31544/; https://www.sciencedirect.com/science/article/abs/pii/S1389041720301145?via%3Dihub; https://doi.org/10.1016/j.cogsys.2020.12.008

The climate and weather dynamics in the past few years has driven a massive increase in the number and intensity of flood disasters, which severely claim casualties in human, goods and properties. Aimed to reduce these casualties, emerging software-defined internet protocol-based communication technologies in the form of Internet of Things (IoT) have attracted strong interests from disaster mitigation stakeholders to rapidly locate victims and acquire their relevant information, which in turn can boost up the efficiency and effectiveness of Search and Rescue (SAR) missions. In order to capture state-of-the-art development and technological challenges, this paper presents an extensive review on the flood SAR systems, highlighting some of the key emerging IoT technologies that prove or are potentially useful in improving the SAR operation by the rescuers. Furthermore, a comprehensive study on different existing communication technologies for SAR is provided, covering the system architecture, communication network compositions and applications. Based on the critical analysis of existing works, this paper puts forward a proposal on an IoT-aided integrated flood management framework to support SAR in the flood-catchment areas, leveraging upon three-domain (ground, water and air) collaborative wireless networks.