Abstract-Increased commodity use of mobile devices with sensory capabilities has the potential to enable mission-critical monitoring applications in various domains. However, these mobile-enabled monitoring applications have to often work in environments where a delay-tolerant network (DTN) is the only feasible communication paradigm. DTNs are multi-hop networks prone to long delays and frequent disruptions. Unfortunately, there is a lack of effective and scalable support for building sophisticated DTN-based monitoring applications. Detection of complex (composite) events, for example, is fundamental to monitoring applications. However, there is little work in designing scalable complex event detection (CED) techniques for DTNs. The current plan-based CED techniques are mostly centralized, and hence are inherently unscalable for DTNs.In this paper, we create Comet, -a decentralized plan-based, efficient and scalable CED for DTNs. Comet shares the task of detecting complex events (CEs) among multiple nodes, with each node detecting a part of the CE by aggregating two or more primitive events or sub-CEs. Comet uses a unique h-function to construct cost and delay efficient CED trees. As finding an optimal CED plan requires exponential-time, Comet finds near-optimal detection plans for individual CEs through two novel heuristic planning techniques: multi-level push-pull conversion and virtual CED tree creation. Performance results show that Comet reduces cost by up to 89% compared to pushing all primitive events and over 60% compared to a two-level exhaustive search algorithm.