Routing Protocol For Wireless Sensor Networks with Hybrid Energy Storage System
Author
Pais, Nuno
Term
10. term
Publication year
2009
Pages
62
Abstract
Trådløse sensornetværk (WSN), der får strøm fra energi, der høstes fra omgivelserne, skal forvalte den energi omhyggeligt. Denne afhandling foreslår nye rute-metrikker (regler for valg af vej for datapakker) til sådanne netværk, baseret på et Hybrid Energy Storage System (HESS), der kombinerer en superkapacitor (SC) og et genopladeligt batteri (RB). En superkapacitor har lav kapacitet, men kan levere høj effekt og tåler hyppig opladning/afladning, mens et batteri lagrer mere energi, men har et begrænset antal opladningscyklusser. Den foreslåede HESS-baserede rutning tildeler separate metrikker til resterende energi i både SC og RB og favoriserer ruter, hvor noder har mere SC-energi og højere energihøstningsrater. Vi udvikler en energimodel og simulerer den i MATLAB i forskellige anvendelsesscenarier. Resultaterne viser, at en balanceret energiforbrug og pålidelig levering af datapakker kan forlænge netværkets levetid ved hjælp af HESS’ fleksible, energi-bevidste omkostningsfunktion.
Wireless sensor networks (WSNs) that run on energy harvested from their environment must manage that energy carefully. This thesis proposes new routing metrics (rules for choosing paths for data packets) for such networks, built around a Hybrid Energy Storage System (HESS) that combines a supercapacitor (SC) and a rechargeable battery (RB). A supercapacitor has low energy capacity but can deliver high power and tolerate frequent charge/discharge cycles, while a battery stores more energy but has limited charge cycles. The proposed HESS-aware routing assigns separate metrics to the remaining energy in both the SC and the RB and favors routes where nodes have more SC energy and higher energy harvesting rates. We develop an energy model and simulate it in MATLAB across different application scenarios. Results show that balancing energy use and ensuring reliable packet delivery can extend network lifetime using HESS’s flexible, energy-aware cost function.
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Keywords