Abstract
In this chapter, we study some research issues from IoT-based spectrum trading in Wireless Communication in a strategic setting. We consider the scenario in which there are multiple secondary users (such as non-governmental organizations (NGOs), institutional organizations, foundations, etc.) having available un-utilized spectrum and multiple tertiary users (such as small farms, agricultural enterprises or people residing in different localities). Tertiary users provide preferences over the subset of all the available secondary users (NGOs, hereafter). Based on their preference ordering, the tertiary users are allocated the best possible NGOs among the available ones and under the restrictions that each user is assigned to at most one NGO. However, it is to be noted that, in this model, the allocated spectrum might not be available through out a long period of time but rather for a short duration of time within a time period. Therefore, tertiary users have to be able to work off-line and access cached data at the Edges of Internet even if the Internet access is not available. For the purpose of storing and retrieving the cached data several algorithms are designed and their computational complexity is analyzed. In order to empirically measure the efficacy of the proposed mechanisms the simulations are carried out and are compared with the benchmark mechanism. The proposed allocation mechanisms are envisaged as especially useful tools for emerging scenarios of smart farming and precision agriculture, where in situ infrastructures are not available.