Abstract
When multiple mobile sensors and actuators share a common wireless mesh backbone network of defence systems, the channel allocation mechanism must guarantee the heterogeneous link requirements under conditions of uncertainty. In this paper, a robust channel allocation mechanism is proposed by exploiting partially overlapped channels for directional multi-channel wireless mesh networks. The approach relies on a chance-constrained optimization problem, in which the objective is to minimize the spectrum usage of the network, and the constraints are the signal-to-interference-plus-noise ratio requirements of links with uncertainty. We convert the proposed integer non-linear optimization problem into a mixed-integer convex problem by using efficient transition and approximation. The optimal channel allocation is obtained by solving the proposed optimization problem which adapts to the heterogeneous link and robustness requirements. The simulation results show that the proposed method ensures the heterogeneous link requirements under uncertain conditions while minimizing the spectrum usage of the network.
Highlights
Modern defence systems heavily rely on wireless backbone networks to collaborate and share the critical information obtained by wireless sensors and actuators, such as unmanned ground vehicles and unmanned aerial vehicles [1]
Note that the overall structure of the proposed robust channel allocation is applicable to the IEEE 802.11s standard for wireless mesh networks
We proposed a robust channel allocation mechanism by using partially overlapped channels efficiently for directional multi-channel wireless mesh networks
Summary
Modern defence systems heavily rely on wireless backbone networks to collaborate and share the critical information obtained by wireless sensors and actuators, such as unmanned ground vehicles and unmanned aerial vehicles [1]. The major information assets, communication, commands, and control must be reliably delivered over wireless backbone networks to support critical decisions with a radical and challenging set of defence requirements. Motivated by recent predictions of mobile sensors, unmanned ground vehicles, and unmanned aerial vehicle quantities [2,5], the channel allocation of multi-channel wireless mesh networks has become a more challenging task, since the usable radio spectrum is still a precious natural resource and the link capacity requirement has become more heterogeneous. The high bandwidth streaming video with low latency has become an essential component in the modern warfare. Robust performance is critical, due to unpredictable warfare, including malicious interfering and jamming attacks in deployed fields
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