Disaster management and emergency response mechanisms have come of age post 9/11. Undoubtedly the introduction of Information Technology (IT) in emergency response management has been revolutionary from the perspective of better management of the emergency response. However, the various components which make up the IT infrastructure, such as sensors, computers, PDAs, network devices, etc, are inherently volatile in nature. To overcome this volatility and increasing the robustness of the emergency system we designed and developed a health monitoring tool, denoted DiNAR, for disaster systems. This tool will help the incident commander to actively monitor the state of the IT infrastructure which has been deployed in the field as well as the applications running at remote sites. DiNAR uses Manager-Agent based architecture and a novel agent initiated message exchange.
In this paper, we analysemachine to machine (M2M) communication in long term evolution for machine type communication(LTE-M) network. It provides interface for M2M devices to send data to M2M gateways or evolved Node B (eNB).Clustering is an efficient way of gathering data and energy conservation. Here, two existing clustering methods, namely, Low energy adaptive clustering hierarchy (LEACH) and energy aware multi-hop multipath hierarchy (EAMMH)are compared with improved M2M clustering process (IMCP) method. Results show that IMCP performs better than the existing techniques in terms of energy consumption, network life time and number of dead nodes. Assumption is made to use smart metering as one of measuring application in M2M communication. Index terms-LTE-M, M2M, GFDM, Energy, Clustering.
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