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The research illustrates a view on the current trends in the telecommunication industry focusing on the matter of Short Message Service (SMS) technology. It targets and explains disruptive technology and also introduces disruptive technology in Short Message Service (SMS). The methodology of this research is market trend analysis using data on volume of Short Message Service (SMS) sent and received through a mobile network and a survey that was conducted with questionnaires. The findings are Short Message Service (SMS) is predicted to become obsolete and be disrupted by Over the Top (OTT) messaging application by the third quarter of the year 2020. This was implemented with linear regression prediction. By the survey a new trend of using Short Message Service (SMS) has emerged but users have certainly moved away from SMS and now prefer texting Over the Top (OTT) messaging applications.

Rapid advances in wireless communication technology recently have led to the development of sensor nodes to form wireless sensor network (WSN).However, these nodes have limited battery power and due to the nature of this technology which enables communication between nodes which can be deployed anywhere including hard-accessed area, thus it is not feasible to recharge or replace the batteries. Therefore power consumption of each sensor node should be minimized so that overall network lifetime will be increased. In order to minimize power consumption, some nodes which can be considered redundant, can be put to shutdown mode. In this paper, a shutdown technique is being proposed. The technique is Random Node Shutdown. In this technique, nodes are randomly shutdown according to the criteria and conditions defined. This technique is examined and simulated using the NS2 simulation environment to find the best scenario for the proposed algorithm.