Title: Resilient network with cognitive wireless network based on DTN for disaster information system in rural areas

Authors: Noriki Uchida; Noritaka Kawamura; Goshi Sato; Yoshitaka Shibata

Addresses: Department of Informational Society Studies, Saitama Institute of Technology, 1690 Fusaiji, Fukaya, Saitama 369-2093, Japan ' TAC Engineering Co., Ltd., 2-3-20, Tsushidanishi, Morioka, Iwate 020-0836, Japan ' Faculty of Software and Information Science, Iwate Prefectural University, 152-52 Sugo, Takizawa, Iwate 020-0193, Japan ' Faculty of Software and Information Science, Iwate Prefectural University, 152-52 Sugo, Takizawa, Iwate 020-0193, Japan

Abstract: Although two years have already passed after the East Japan Great Earthquake in 2011, outstanding topics such as having a resilient network for disasters still remain. The rural areas are considered more likely isolated from others because of limited transportation and network resources compared with the urban areas. In this paper, we introduce the resilient network with cognitive wireless network (CWN) based on delay tolerant networking (DTN) for disaster information system (DIS) in rural areas. In the system, a proper wireless link for each mobile is selected by comparing network parameters such as throughput, jitter, and latency, and transmits data sent by the DTN routing protocol including the Epidemic, Spray and Wait, MaxProp, and PROPHET. The simulation is held according to the GIS map, and the results are ready for discussion for future studies of DTN usages for DIS in rural areas.

Keywords: disaster information systems; DIS; delay tolerant networks; DTN; cognitive wireless networks; CWN; QoS; quality of service; network resilience; rural areas; emergency management; disaster management; simulation; earthquakes.

DOI: 10.1504/IJAIS.2014.061044

International Journal of Adaptive and Innovative Systems, 2014 Vol.2 No.1, pp.29 - 42

Received: 05 Oct 2013
Accepted: 27 Dec 2013

Published online: 28 Jun 2014 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article