It is increasingly regarded that data local caching in WSN can benefit the resource conservation and performance. A critical challenge is that cached data comprise only a small percentage of the data that a WSN node may require, thus leading to the replacement of data items. Consequently, replacement policy comprises critical factors in order to maximize performance benefits. Equally important in WSN is the interplay of such policies, application and network characteristics. Therefore, this paper aims to experimentally evaluate prominent replacement policies performance with respect to critical application and network parameters. An already presented cache model is developed and appropriately extended in the context of the prominent WSN TelosB platform. Valuable insights are provided concerning the behavior of considered policies in typical WSN scenarios and important trade-offs are revealed.