rmine if retransmissions make sense. Would the application still be interested in a real-time data point that was missed? The devices could be collecting data over a longer time to search for trend analysis and may come online periodically to send bigger chunks of data. Also, this could happen based on a trigger or message received by the device: Traffic profiles: In such scenarios the traffic and the bearers in uplink alone could be modeled after non-real-time bearers, which could be default bearers. Retransmissions would make sense here and bigger-sized packets could be used to ensure that the payload goes through. The latency requirements may not be too strict here as more importance is placed on the data's correctness and validity. All the above would need to be validated with the actual IoT application requirements. CHAPTER 3 DEPLOYMENT CHALLENGES IN EVOLVING 4G Cloud Computing and Mobile Internet We briefly discussed the IoT and the implications the technology and application of this hold for us in the future. To complete the discussion, we briefly review a couple of related technologies in Cloud computing and mobile Internet that enables the IoT and a host of other applications that are deemed to have a disruptive influence for the future in terms of potential business impact. We have already discussed the growing trend of mobile Internet and how projections indicate that the same will quickly outgrow desktop access to become the dominant way in which the Internet will be accessed. Also, we have hinted that standardization of Cloud access technologies could enable faster deployment of the IoT and help in adoption of this idea. As per the McKinsey report on disruptive technologies in 2013, the following are the projections for impacts on mobile Internet by 2025: By 2013, there has been an increase of six times in the sale of mobile devices since 2007. In 2013, 4.3 billion people remain unconnected, with a possible 1 billion workers that could use online transactions. By 2025, it is estimated the potential i