Hybrid FPMS: A New Fairness Protocol Management Scheme for Community Wireless Mesh Networks

TL;DR

Hybrid FPMS is a novel fairness protocol management scheme for Community Wireless Mesh Networks that combines the detection accuracy of incentive-based protocols with improved scalability, reducing delays and overhead.

Contribution

The paper introduces Hybrid FPMS, a new scheme that enhances fairness protocol management by blending centralized detection with decentralized scalability.

Findings

Hybrid FPMS outperforms centralized protocols in efficiency.

Significantly reduces network delays and overhead.

Maintains high detection capability in large networks.

Abstract

Node cooperation during packet forwarding operations is critically important for fair resource utilization in Community Wireless Mesh Networks (CoWMNs). In a CoWMN, node cooperation is achieved by using fairness protocols specifically designed to detect and isolate malicious nodes, discourage unfair behavior, and encourage node participation in forwarding packets. In general, these protocols can be split into two groups: Incentive-based ones, which are managed centrally, and use credit allocation schemes. In contrast, reputation-based protocols that are decentralized, and rely on information exchange among neighboring nodes. Centrally managed protocols inevitably suffer from scalability problems. The decentralized, reputation-based protocols lacks in detection capability, suffer from false detections and error propagation compared to the centralized, incentive-based protocols. In this study, we present a new fairness protocol management scheme, called Hybrid FPMS that captures the superior detection capability of incentive-based fairness protocols without the scalability problems inherently expected from a centralized management scheme as a network's size and density grows. Simulation results show that Hybrid FPMS is more efficient than the current centralized approach and significantly reduces the network delays and overhead.