Title :
Signal reflection-enabled geographical routing for underwater sensor networks
Author :
Emokpae, Lloyd ; Younis, Mohamed
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, Baltimore, MD, USA
Abstract :
The 3-D nature of the underwater environment has made geographical-routing a popular choice in underwater acoustic sensor networks (UW-ASNs). A geographical (geo) routing protocol works by using the position information to find the best route from a source to a destination. These algorithms, often try to minimize the line-of-sight (LOS) Euclidean distance between hops, which is not always possible due to blocked LOS paths resulting in voids (or local minimum). Thus, traditional geo-routing algorithms typically employ a face routing recovery scheme that allows for back-tracking when blocked LOS links are encountered, which adds delay to the data delivery time. To overcome this, we propose a geo-routing scheme that does not depend on the LOS and utilize directional antennas to incorporate surface-reflected non-line-of-sight (NLOS) links in the routing process. Furthermore, the proposed algorithm is configured to optimize the route selection to achieve maximum network throughput. Simulation results are provided to validate the performance of the proposed algorithm.
Keywords :
radio links; routing protocols; underwater acoustic communication; 3D nature; LOS Euclidean distance; NLOS links; UW-ASN; back-tracking; blocked LOS paths; data delivery time; directional antennas; face routing recovery scheme; georouting algorithms; incorporate surface-reflected nonline-of-sight links; line-of-sight Euclidean distance; maximum network throughput; position information; route selection optimization; signal reflection-enabled geographical routing protocol; underwater acoustic sensor networks; underwater environment; Directional antennas; Propagation losses; Routing; Routing protocols; Throughput; Unicast; Wireless sensor networks; Acoustic communication; geographical routing; underwater sensor networks;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6363766