Abstract
A crucial problem in post-flood recovery actions is the ability to rapidly establish communication and collaboration among rescuers to conduct timely and effective search and rescue (SAR) mission given disrupted telecommunication infrastructure to support the service. Aimed at providing such proximity service (ProSe) for mission-critical data exchange in the post-flood environment, the majority of existing solutions rely heavily upon ad-hoc networking approaches, which suffer from restricted communication range and the limited scope of interaction. As an effort to broaden the ProSe coverage and expand integrated global-local information exchange in the post-flood SAR activities, this paper proposes a novel network architecture in the form of a cyber-enabled mission-critical system (CEMCS) for acquiring and communicating post-flood emergency data by exploiting TV white space spectrum as network backhaul links. The primary method of developing the proposed system builds upon a layered architecture of wireless local, regional and wide-area communications, and incorporates collaborative network components among these layers. The desirable functionalities of CEMCS are showcased through formulation and the development of an efficient global search strategy exploiting a wide range of collaboration among network agents. The simulation results demonstrate the capability of CEMCS to provide ProSe in the post-flood scenarios as reflected by reliable network performance (e.g., packet delivery ratio nearing 80%–90%) and the optimality of efficient search algorithm.
Highlights
The latest annual disaster statistical review [2] reports that natural hazards remain one of the major contributors to casualties in human population and destruction to community infrastructure
As a way of expanding and sustaining mission-critical proximity service (ProSe) in flood scenarios and addressing the issues of existing solutions, this paper proposes a cyber-enabled missioncritical system (CEMCS) as an innovative construction of collaborative wireless network architecture with three domains utilizing air, water and land networks to assist post-flood search and rescue (SAR) operations
It can be expressed in the following way: Delay = Nn=1(Ai − Si) where, Ai is time when packet received at destination, Si is time when packet transmitted by source, N refers the total packets received by servers of the Control Center (CC)
Summary
ARAFATUR RAHMAN 1,2, (Senior Member, IEEE), A. TAUFIQ ASYHARI 3,4, (Member, IEEE), SAIFUL AZAD 1,2, (Member, IEEE), MD. A preliminary version of this work was presented in part at the IEEE International Conference on Dependable, Autonomic and Secure Computing, Orlando, FL, 2017 [1]. We would like to acknowledge Mr Qusay Medhat Salih for his cooperation on the NS-2 simulation
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