Internet of Things (IoT) applications have become a prominent subject in computational science, embedded system and network technology. It is also the next big thing to influence complete electronic industries and human life. Many researches focus on smart home applications to develop varied home sensor network and topology. In the heterogeneous communication environment, power supply of home sensor network is the basic condition to maintain system operation. How to enlarge required power of sensor network as long as possible is the critical point to decide network life. There are more and more renewable energy deployed in home energy management system (HEMS) at modern residence. We develop an adaptive classification scheme (ACS) to classify power source type of home automation sensors in smart home, and further propose dynamic distributed energy management algorithm (DDEM) to adjust energy distribution for establishing intelligent home automation management system. Finally, the proposed scheme can effectively prolong operation life of home sensor network.