Never Die Networks

Topics: Wireless LAN, Wireless network, Wireless networking Pages: 24 (7230 words) Published: August 15, 2013
Never Die Network Based on Cognitive Wireless Network and
Satellite System for Large Scale Disaster
Noriki Uchiday, Kazuo Takahata
Dept. of Informational Social Studies
Saitama Institute of Technology
1690 Fusaiji, Fukaya, Saitama 369-2093, Japan
fuchida, takahatag@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
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.

Keywords: Disaster information network, cognitive wireless network, never die network, QoS Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, volume: 3, number: 3, pp. 74-93 This paper is an extended version of the work originally presented at the 26th IEEE International Conference on Advanced Information Networking and Applications (AINA’12), Fukuoka Institute of Technology (FIT), Fukuoka, Japan, March 26-29, 2012 [10].

yCorresponding author: Department of Informational Social Studies, Saitama Institute of Technology, 1690 Fusaiji, Fukaya, Saitama 369-2093, Japan, Tel: 81-48-585-6876, Email: uchida@sit.ac.jp 74
Never Die Network Uchida, Takahata, Shibata, and Shiratori
1 Introduction
There have been many serious disasters such as earthquakes, tsunamis, or typhoons in the world recently. Especially, in the Japanese archipelago which mainly consists of mountains and coastal areas, there is always a possibility of some areas becoming isolated if such severe disasters occur. In fact, the Great East Japan Earthquake caused serious damage to a wide area of northern Japan on March 11, 2011. In the event, the shock of the earthquake and tsunami in Japan had an enormous impact on the whole world, not only in Japan. What is of global significance is the nearly complete disconnection of the communication network, as well as the potential for a nuclear fallout crisis and major energy problem. The lack of information and communication caused the complete isolation of many Japanese cities, and it also affected the rescue work, evacuation of people, and food supplies. After the earthquake, most land phones, cellular phones, and internet services were unable to be used because of high congestion in the communication network. This breakdown of the network devices affected a much wider area. For example, the Kanto region which includes Tokyo was...
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