Information source selection and management framework in wireless sensor networks

With an advancement of technologies especially in the field of electronics, different types of sensors which can measure same physical phenomenon can be found in the market. Therefore, it is likely that different types of sensors which measure same physical phenomenon will be used for some applications. Different properties and characteristics like sensitivity, response time etc., of these different sensors will result in generating information at different rates. When these different types of sensors are deployed to collect same information, the users have choice to select from different information sources based on their preferences and requirement. In addition, the user can also switch from one information source to another when the current information source either becomes unavailable or the users requirement changes. In this paper, based on above argument, we develop a reliable information source selection and management framework and presents an algorithm which selects the information source based on the information mismatch probability [1]. The sampling rate for every access is decided as per the maximum allowable power consumption limit.