Read about swarm intelligence models for the first time today. A little google search came up with the following:

Exact Deterministic Baselines: Algorithms like Kruskal's or brute-force mathematical solvers are run to establish the true, flawless mathematical answer. The swarm's solution is measured against this perfect baseline to determine accuracy.

Peer Metaheuristics: The model is pitted against other non-swarm optimization models—such as Genetic Algorithms (GA) or Simulated Annealing (SA)—under the exact same hardware, population size, and iteration limits to determine which paradigm handles the problem most efficiently.

I did some research on wireless sensors years ago, particularly on it's self-healing and self-adjusting network formation modus-operandi. New ideas will always leverage on established principles.

Best of luck