Volume 3 - Issue 3
Never Die Network Based on Cognitive Wireless Network and Satellite System for Large Scale Disaster
- Noriki Uchida
Dept. of Informational Social Studies Saitama Institute of Technology 1690 Fusaiji, Fukaya, Saitama 369-2093, Japan
uchida@sit.ac.jp
- Kazuo Takahata
Dept. of Informational Social Studies Saitama Institute of Technology 1690 Fusaiji, Fukaya, Saitama 369-2093, Japan
takahata@sit.ac.jp
- Yoshitaka Shibata
Faculty of Software and Information Science Iwate Prefectural University 152-52 Sugo, Takizawa, Iwate 020-0193, Japan
shibata@iwate-pu.ac.jp
- Norio Shiratori
Research Institute of Electrical Communication Tohoku University 2-1-1 Katahira, Aobaku, Sendai, Miyagi 980-8577, Japan
norio@shiratori.riec.tohoku.ac.jp
Keywords: Disaster information network, cognitive wireless network, never die network, QoS
Abstract
The Great East Japan Earthquake caused many casualties and radiation contamination from the
Fukushima nuclear power plant, and many problems still remain in the disaster area. The communication
network was severely affected by the earthquake. The network disconnection greatly
delayed the rescue work and isolated many residential areas. This lack of robust network connection
has become one of the major topics for any discussion of a Disaster Information Network System.
This paper proposes a Never Die Network (NDN) which will consist of a Cognitive Wireless Network
(CWN) and a Satellite Network. The best possible wireless links and routes are selected out
of multiple wireless networks. This proposal, first of all, puts forward a cognition cycle which has a
continuous network and user changing environment. Secondly, the optimal link selection will adapt
the extended Analytic Hierarchy Process (AHP) method by a change of network environment and
user policy during a disaster. Then, if the network environment or user environment can be changed,
a proper route selection method can be conducted by the proposed extended Ad Hoc On-Demand
Distance Vector (AODV) method with Min-Max AHP values. The simulation described in this paper
contains an evaluation of the proposed methods by comparing a single ordinal wireless network
system and a CWN for the disaster situations. The probable effectiveness of the proposed methods
is discussed in this paper.