Interval type-2 fuzzy logic based radio resource management in multi-radio WSNs

Aim at achieving the energy conservation and fully taking advantage of the multi-radio resource for multi-radio wireless sensor networks (MRWSNs), the interval type-2 fuzzy logic (IT2FL) based energy-optimal radio resource management mechanism is proposed, by taking the complex uncertainties existed in MRWSNs into consideration. The contribution of this paper is as follows. Firstly, the IT2FL inference mechanism is proposed to handle the complex uncertainties better. In the proposed IT2FL inference mechanism, three important factors, i.e., the transceiver energy consumption, the residual energy, and the channel quality, are considered as the input variables and the selection probability of each transceiver is regard as output variable. Secondly, the proposed IT2FL is utilized to the decision-making of the energy-efficient radio resource allocation in MRWSNs, when there are multiple new/delivery tasks. Following that, full simulations are deployed, in order to validate the proposed IT2FL based radio resource management mechanism can effectively improve the network performance, in terms of the energy efficient, throughput, data transmission success rate, and prolong the network lifetime etc.