This study proposes an alternative network relatively simple and inexpensive that can be used for maintaining communications capabilities during major natural disasters and other emergency situations by introducing a system that utilizes Short Message Service(SMS) over Wireless Mesh Sensor Networks(WMSNs). To create this WMSN we propose a system using the water level sensors widely used in rivers throughout the world. Nowadays, most of the communication systems and their applications require a network infrastructure like cellular network or the Internet for communications between users. This communication links can become unavailable during a major disaster due to damaged infrastructure and power outages. This disadvantages raise the following problem; how can people communicate during a major natural disaster? It is imperative to find an alternative system that is capable and resilient enough for communications during a major natural disaster that also can be used in developing countries. Therefore we propose a system using the water level sensors widely used for river flood detection along with wireless technologies for creating a Wireless Sensor Network (WSN) that provides an alternative communication system that is independent from the mobile network infrastructure for sending SMS during emergency situations like natural disasters. The framework aims to establish the interconnections between the WSN inside the disaster area and the mobile network infrastructure. By first creating a medium in which devices communicate resiliently and independent from infrastructure (e.g. the internet or mobile network) in order to exchange data between networked objects and users in the disaster zone. Finally, with the objective of interconnecting with the mobile network infrastructure using multi-hop routing techniques. The major functionality includes data acquisition during normal operation and SMS communication during emergency situations.
Anthone Andrade, Mynor Vinicio and Oishi, Satoru, "A Wireless Mesh Sensor Network Framework For River Flood Detection And Emergency Communications In Case Of Disaster" (2014). CUNY Academic Works.