Sensor networks are increasingly being deployed for fine-grain monitoring of physical environments subjected to critical conditions such as fire, leaking of toxic gases and explosions. A great challenge to these networks is to provide a fast, reliable and fault tolerant channel for events diffusion, which meets the requirements of query-based, event-driven and periodic sensor networks application scenarios, even in the presence of emergency conditions that can lead to node failures and path disruption to the sink that receives those events. This paper presents a fault tolerant and low latency algorithm, which we refer to as PEQ (Periodic, Event-Driven and Query-Based Protocol), that meets sensor networks requirements for critical conditions surveillance applications. The algorithm uses the publish/subscribe paradigm to disseminate requests across the network and an ack-based scheme to provide fault tolerance. The algorithm was implemented using NS-2 simulator and compared to the Directed Diffusion paradigm. Important metrics were evaluated showing that the proposed algorithm can be a proper solution to meet constraints and requirements of events delivery in critical conditions monitoring applications.
Boukerche et al. REF presented a fault tolerant and low latency algorithm, which refer to as periodic, event-driven and query-based protocol that meets sensor networks requirements for critical conditions surveillance applications.
A fast and reliable protocol for wireless sensor networks in critical conditions monitoring applications
MSWiM '04
Computer Science