Trust-Aware Network Utility Optimization in Multihop Wireless Networks with Delay Constraints

TL;DR

This paper integrates trust metrics and delay constraints into Network Utility Maximization to enhance security and QoS in multihop wireless networks, enabling safer and more reliable resource allocation.

Contribution

It introduces a trust-aware NUM framework that incorporates security and delay constraints, addressing malicious node avoidance and QoS in wireless networks.

Findings

Trust-aware optimization improves security by avoiding malicious nodes.

Incorporating delay constraints ensures QoS compliance.

The framework effectively balances security and performance.

Abstract

Many resource allocation problems can be formulated as a constrained maximization of a utility function. Network Utility Maximization (NUM) applies optimization techniques to achieve decomposition by duality or the primal-dual method. Several important problems, for example joint source rate control, routing, and scheduling design, can be optimized by using this framework. In this work, we introduce an important network security concept, "trust", into the NUM formulation and we integrate nodes' trust values in the optimization framework. These trust values are based on the interaction history between network entities and community based monitoring. Our objective is to avoid routing packets though paths with large percentage of malicious nodes. We also add end-to-end delay constraints for each of the traffic flows. The delay constraints are introduced to capture the quality of service (QoS) requirements imposed to each traffic flow.