This paper presents a performance analysis for an improved Beacon Vector Routing (BVR) protocol. BVR algorithms are useful for point-to-point routing in wireless sensor networks. The original BVR algorithm is compared through performance analysis to improved three-phase fault-tolerant BVR, known as FBVR-Opt. Finally, FBVR-Opt is compared against an existing fault-tolerant routing technique, known as LRR.The simulator assumptions and performance analysis are discussed. Performance metrics include throughput, latency, overhead, and routing success rate in the presence of multiple node failures. FBVR-Opt is found to significantly improve routing success and throughput in the presence of multiple simultaneous node failures.
This paper presents and evaluates an approach for defect isolation of DNA self-assembled networks made of a large number of processing nodes. A previous framework based on a broadcast algorithm isolates defective nodes by using no redundancy (for the nodes) and an external defect map. Its disadvantage is the limited scalability, thus making it unsuitable for extremely large scale networks built through DNA self-assembly. Our framework improves upon the previous framework by involving three algorithmic!tiers; namely, I -hop wave expansion, eficient via placement, and unsafe node defection. The eficiency of the proposed framework is evaluated and compared with the original framework by considering large scale networks (up to 1000 x 1000 nodes), and a novel gross defect model (as well as the conventional random defect model assumed in previous manuscripts). Simulation results indicate that the proposed framework outperforms the original framework in broadcast latency and coverage, and shows excellent scalability features for DNA self-assembled nano-scale networks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.