Node Energy Consumption and Access Capacity Optimization for Smart Home System
Most Chinese residents live in the community mode.In this mode,the coverage of wireless sensor network and the amount of data become larger,resulting in higher node energy consumption.At the same time,the increase of users will lead to con-current access overload and other problems.To solve the above problems,this paper proposes a node energy consumption and ac-cess capacity optimization method for smart home system,which optimizes node energy consumption from three aspects:optimizing routing algorithm,formatting data transmission format and controlling node sleep time.The concurrency of the system is improved and the response time from three aspects are reduced,which are introducing thread pool,Redis cache in server Service layer and optimizing database.
Internet of Thingssmart homewireless sensor networkaccess capacitynode energy consumption