Lifetime-Priority-Driven Resource Allocation for WNV-Based Internet of Things
Yun Li, Shichao Xia, Qianying Yang, Guoyin Wang, Weiyi Zhang
Abstract
Resources allocation efficiently of wireless network virtualization (WNV) in Internet of Things (IoT) has become a key challenge owing to the conflict between the limited capacity of physical resources and the massive virtual resources requests. Focusing on time-frequency resource allocation in WNV-based IoT, this article proposes a dynamic resource allocation algorithm based on the lifetime priority (LP-DRA) of virtual network requests (VNRs). First, LP-DRA investigates the continuity of physical time-frequency resource blocks by the Karnaugh map approach, then calculates the reallocation impact factor (RIF) of existing virtual networks (VNs), and reallocates the time-frequency resources to the VN with the largest RIF. Finally, the resources are preferentially allocated to the VNs with shorter lifetimes. The performance of LP-DRA is compared with the static resource allocation algorithm and the greedy dynamic resource allocation algorithm. The simulation results show that LP-DRA can utilize physical resources more effectively, improve the acceptance rate of VNRs, and increase the revenue of the physical network.