Abstract
Software defined WiFi network (SD-WiFi) is a new paradigm that addresses issues such as mobility management, load management, route policies, link discovery, and access selection in traditional WiFi networks. Due to the rapid growth of wireless devices, uneven load distribution among the network resources still remains a challenging issue in SD-WiFi. In this paper, we design a novel four-tier software defined WiFi edge architecture (FT-SDWE) to manage load imbalance through an improved handover mechanism, enhanced authentication technique, and upgraded migration approach. In the first tier, the handover mechanism is improved by using a simple AND operator and by shifting the association control to WAPs. Unauthorized user load is mitigated in the second tier, with the help of base stations (BSs) which act as edge nodes (ENs), using elliptic ElGamal digital signature algorithm (EEDSA). In the third tier, the load is balanced in the data plane among the OpenFlow enabled switches by using the whale optimization algorithm (WOA). Moreover, the load in the fourth tier is balanced among the multiple controllers. The global controller (GC) predicts the load states of local controllers (LCs) from the Markov chain model (MCM) and allocates packets to LCs for processing through a binary search tree (BST). The performance evaluation of FT-SDWE is demonstrated using extensive OMNeT++ simulations. The proposed framework shows effectiveness in terms of bandwidth, jitter, response time, throughput, and migration time in comparison to SD-WiFi, EASM, GAME-SM, and load information strategy schemes.
Highlights
WiFi networks have increased rapidly in the past decade due to their simple technical implementation and low costs [1, 2]
To tackle the aforementioned shortcomings, we develop a novel load balancing architecture that integrates WiFi, Software defined network (SDN), and edge computing to manage and balance load at each tier. e proposed FT-SDWE has the following contributions: (i) e handover mechanism is improved in the first tier by using a simple AND operator
A novel FT-SDWE is proposed for effective load balancing
Summary
WiFi networks have increased rapidly in the past decade due to their simple technical implementation and low costs [1, 2]. Is integration enables connectivity with the edge devices supporting 3G, 4G, and WiFi. SDN based edge computing presents an adaptive transmission architecture which categorizes the data streams into normal and emergent classes for packet processing [16]. Scalability in the control plane is achieved by performing load balancing based on the idea of hybrid switching [18] It makes use of both SDN switches and traditional network switches. The previous research works for load balancing have been discussed on core SDN, SDN with edge computing, and SDN with WiFi (SD-WiFi) Factors such as security, traffic priorities, load balancing in data and control plane, and optimal route policies are not studied in a hybrid software defined WiFi edge architecture.
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