We are researching a mobile and sensor access platform network for the future called NerveNet, which accommodates ubiquitous sensors and provides services in local areas. The realization of reliable and accountable information collection, processing and provision over NerveNet poses a challenging and fundamental issue in promotion of the sensor business field. As a first step toward a reliable NerveNet, we investigate privacy preservation and the collection of reliable sensor information for prospective personalized sensor applications. The privacy requirement impels the logic separation between sensor networks and the communication platform in the design of NerveNet architecture. To enable sensor network users (SNUs) to reliably interact with sensors managed by different sensor network owners (SNOs), we designed a secure sensor sharing framework (S3F) based on two business models — the Ad Hoc Sales Model (AHSM) and Shopping Center Sales Model (SCSM). With S3F-AHSM, an SNU acquires permission from an SNO each time she wants to obtain information from a sensor. On the other hand, with S3F-SCSM, an SNU can obtain the access privilege to a flexible set of sensors based on the queried preferences via a third party called a sensor network service provider (SNSP). In S3F-SCSM, SNSPs that share the sensors owned by various SNOs have the ability to search the preferred sensors and provide the authorization certificate to the SNUs.