In our research paper, we analyze the measurement of smartphone power of two widely used 4G and WiFi and their usage patterns. Due to their significant tail power consumption, 4G remains in high-power phases after a transfer. These observations allow us to create a simulation of the power used by network activities based on the technology. Using this technique, we want to reduce the amount of power used by popular mobile applications. To accomplish this, TailEnder is a protocol that arranges transfers to spend the least amount of power overall while yet meeting user-specified delay tolerance limits. The TailEnder technique is proven to be within the optimal range of 1.28, and no deterministic web-based solution can increase the competitive ratio. We examine the advantages of TailEnder for two applications for case studies: news feeds, email, and web searches both demonstrate a considerable decrease in power use based on actual user logs. In mobile devices, TailEnder was shown to be 60% more effective at downloading files and updates from the news feed than the default configuration, which returns search results for fewer than 50% of online inquiries.