In recent days, mobile applications are turning to be computationally intensive mainly due to its advancement, developing convenience, sophistication and reliability of the Smart phones. Mobile Cloud Computing (MCC) approach is utilized to enable mobile users in order to receive the advantages of cloud computing in a friendly manner through significant strategy for meeting the demands of the industrial requirement. However, the limitation of the device capacity and wireless bandwidth had leads to several issues such as latency delay, additionally energy waste and poor QoS while deploying MCC. To address these obstacles, we propose dynamic energy optimization in mobile cloudlet with offloading algorithm. It focuses on resolving the additional energy waste during wireless communication with minimum response time and moreover, it provides a unique approach with quality of experience/ quality of service that avoids the wastage of energy when mobile users are tolerating with complicated and unstable networking surroundings. The proposed energy optimization technique in terms of hardware (RAM & Display unit) as well as software components Wi-Fi for saving energy consumptions and decrease response time for mobile devices, clones and dynamic cloudlet. The proposed offloading algorithm is developed to decide which section offloaded can be done or whether clone or cloudlet in the devices while performing the task offloading for dynamic execution in MCC. The experimental evaluation of the Smart phones and Java server in the cloud are performed. It proved that proposed approach have saved the energy for enhancing the battery life time and improved the overall performances. The obtained results are efficient and effective for obtaining the better network type, data sizes, work load structure, computational time and energy optimization are better than the existing systems in MCC. © 2005 – ongoing JATIT & LLS