Resilience evaluation for UAV swarm performing joint reconnaissance mission

Abstract

The resilience of unmanned aerial vehicle (UAV) swarm is its joint capability to resist possible threat, adapt to disruptive events, and restore its intended performance under a specific time period. The quantitative assessment of the UAV swarm resilience requires a thorough understanding of its missions. In this paper, a mission-oriented framework is proposed to implement the resilience evaluation for the UAV swarm. Guided by the framework, the resilience evaluation for the UAV swarm performing joint reconnaissance mission is studied. A UAV swarm model is developed for joint reconnaissance mission based on complex networks and agent-based models. The following aspects of the UAV swarm are considered in the proposed model, namely, the mission orientation, UAV attributes, swarm topology, UAV cooperative strategy, UAV information exchange and fusion strategy, potential threats, recovery strategies, etc. Then, a novel performance metric is proposed to measure the mission capability of the UAV swarm performing joint reconnaissance mission. Results from the simulations show that, compared with existing studies, the proposed approach can provide more realistic and objective resilience evaluation for the mission-oriented UAV swarm. The above works can be used to support the decision making and the optimal design of the UAV swarm, given different missions.

Infrastructure resilience curves: Performance measures and summary metrics

“…Efficacy measures are the least common and have a wider variation across the literature. Examples included hospital patient wait time [3], [136]- [138], networking throughput [139]- [142] and round-trip delay time [117], [139], sensing coverage of an unmanned aerial vehicle swarm [143], average vehicle speed [64], water rationing level [106], and water quality index [78]. In attempting to measure quality, efficacy measures may clearly be a proxy for the true measure of interest.…”

“…rail transit revenue vehicle-miles [33], and unmanned aerial vehicle sensing coverage [143], and vehicle speed [64]. Unnormalized measures are also appropriate when the nominal value is unclear or irrelevant, which is often the case for efficiency measures.…”

“…[73], [143], [204], and time to full repair [118]. Others defined metrics for [𝑡𝑡 𝑒𝑒 , 𝑡𝑡 𝑑𝑑 ], the absorb phase [143], [204],…”

“…Some authors conflated the end of cascading failures with the onset of recovery actions, i.e. 𝑡𝑡 𝑑𝑑 = 𝑡𝑡 𝑠𝑠 [118], [143], [204].…”

Cooperative Target Search of UAV Swarm with Communication Distance Constraint

“…Consequently, the US military has identified wide-area target search capability as one of the medium and long-term development goals of unmanned aerial vehicles (UAVs) [3,4]. UAV swarms have excellent wide-area search capabilities affected by cooperation among swarm members; that is, the collective capability is far greater than the sum of all single UAVs [5,6]. Cooperative search planning is integral for guiding swarms to achieve wide-area search and target acquisition and has been widely studied [7].…”