Networked Embedded Systems for Enterprise Applications, IEEE International Conference on (2012)
Liverpool, United Kingdom United Kingdom
Dec. 13, 2012 to Dec. 14, 2012
Khandakar Ahmed , RMIT University, Melbourne, Australia
Mark A Gregory , RMIT University, Melbourne, Australia
The Wireless Sensor Network (WSN) Data Centric Storage (DCS) scheme is a promising alternative to External Storage (ES) and Local Storage (LS) schemes because the ES and LS schemes may lead to high overhead and latency. The DCS scheme, however, might incur high update traffic due to the lack of an optimally synchronized routing algorithm. This paper presents a new distributed Sector Based Distance (SBD) routing algorithm that has been designed for a low power DCS implementation. In order to guarantee reliability and minimizing end-to-end latency, a simple Grid Coloring Algorithm (GCA) is used to derive the time division multiple access (TDMA) schedules. The GCA uses a slot reuse concept to achieve minimum TDMA frame length. Extensive simulations demonstrate that SBD yields significant improvement in achieving high reliability and low latency while providing optimal energy consumption.
Routing, Time division multiple access, Wireless sensor networks, Energy consumption, Algorithm design and analysis, Routing protocols, Tin, Energy Consumption, Data Centric Storage, Sector Head, Remote Update, Local Update
K. Ahmed and M. A. Gregory, "Optimized TDMA based distance routing for Data Centric Storage," Networked Embedded Systems for Enterprise Applications, IEEE International Conference on(NESEA), Liverpool, United Kingdom United Kingdom, 2012, pp. 1-7.