ఇంటర్నేషనల్ జర్నల్ ఆఫ్ సెన్సార్ నెట్‌వర్క్స్ అండ్ డేటా కమ్యూనికేషన్స్

In recent years, researchers are giving an alarming issue about the natural disaster like earthquake, flooding etc. These situations make the fixed infrastructure being damaged. So, the emergency of urgent communication is necessary to save life and resources which are possible by establishing an adhoc network like delay tolerant network (DTN). This network is featured by sporadic connectivity, long delay, and asymmetric data rates. Under the above scenario, our work contributes to find the right mobility model and routing to reach the first responders in the affected area. For this reason, we have considered a congested city named Dhaka in Bangladesh. In this research, the effects of DTN movement models i.e., shortest path map based (SPMB), random way point (RWP), random Walk (RW), and delay- tolerant routing schemes i.e., epidemic, binary-spray-and-wait (B-SNW), prophet and pray-and-focus (SNF) have been investigated in mobile ad hoc network. For varying buffer sizes and number of mobile nodes, performance metrics like delivery, latency, overhead, hop count, buffer time etc. are estimated. OpenJump and opportunistic network environment (ONE) tools, coded by java, are used to map building and to measure the efficiency of mobility models and protocols. The outcome of this research shows that under this scenario the best suitable routing strategy and movement model is spray-and-focus and shortest path map based movement respectively among the protocols and models considered here based on the simulation environment and parameter settings.

In this paper we present a wireless solution for continuous monitoring of vital parameters by using the leverage of both the biosensors and the smart technology. The proposed solution is based on the expanded technology which has been initially developed for NATO Science for Peace & Security Program for optimization of first aid treatment of soldiers wounded at the battle field. A new functionality was added to improve the existing procedures. Intelligent algorithms were developed to provide automatic triage of the wounded person for faster and more reliable categorization of his vital status and to select the optimal first aid. In addition, the continuous monitoring of the relevant parameters of his medical status provides valuable information to the physician to select a proper treatment and consequently improves the patient survival chances.