TY - GEN
T1 - AGSMR
T2 - 4th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2009
AU - Song, Sejun
AU - Kim, Daehee
AU - Choi, Baek Young
PY - 2009
Y1 - 2009
N2 - We propose Adaptive Geo-Source Multicast Routing (AGSMR) for WSNs. It addresses the scalability issue of previous location based stateless multicast protocols in WSNs. AGSMR is a novel stateless multicast protocol that optimizes the location-based and source-based multicast approaches in various ways. First, it saves the cost of a tree building by using receiver's geographic location information during the receiver's the membership establishment stage without flooding. Second, it decreases computation time, in turn, energy usage by determining the multicast routing path at a multicast source node (or rendezvous point (RP)) rather than calculating and selecting neighbors at each forwarding node. Third, it reduces packet overhead by encoding with a small node ID instead of potentially large location information, and by adaptively using branch geographic information for common source routing path segments.
AB - We propose Adaptive Geo-Source Multicast Routing (AGSMR) for WSNs. It addresses the scalability issue of previous location based stateless multicast protocols in WSNs. AGSMR is a novel stateless multicast protocol that optimizes the location-based and source-based multicast approaches in various ways. First, it saves the cost of a tree building by using receiver's geographic location information during the receiver's the membership establishment stage without flooding. Second, it decreases computation time, in turn, energy usage by determining the multicast routing path at a multicast source node (or rendezvous point (RP)) rather than calculating and selecting neighbors at each forwarding node. Third, it reduces packet overhead by encoding with a small node ID instead of potentially large location information, and by adaptively using branch geographic information for common source routing path segments.
KW - Geographic Multicast
KW - Source Multicast
KW - Wireless Sensor Network
UR - http://www.scopus.com/inward/record.url?scp=70349333367&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349333367&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03417-6_20
DO - 10.1007/978-3-642-03417-6_20
M3 - Conference contribution
AN - SCOPUS:70349333367
SN - 3642034160
SN - 9783642034169
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 200
EP - 209
BT - Wireless Algorithms, Systems, and Applications - 4th International Conference, WASA 2009, Proceedings
Y2 - 16 August 2009 through 18 August 2009
ER -