TY - GEN
T1 - Self-organizing desynchronization and TDMA on wireless sensor networks
AU - Degesys, Julius
AU - Rose, Ian
AU - Patel, Ankit
AU - Nagpal, Radhika
PY - 2008
Y1 - 2008
N2 - Desynchronization is a recently introduced primitive for sensor networks: it implies that nodes perfectly interleave periodic events to occur in a round-robin schedule. This primitive can be used to evenly distribute sampling burden in a group of nodes, schedule sleep cycles, or organize a collision-free TDMA schedule for transmitting wireless messages. Here we present a summary of Desync, a biologically-inspired self-maintaining algorithm for desynchronization in a single-hop network. We also describe Desync-TDMA, a self-adjusting TDMA protocol that addresses two weaknesses of traditional TDMA: it does not require a global clock and it automatically adjusts to the number of participating nodes, so that bandwidth is always fully utilized.
AB - Desynchronization is a recently introduced primitive for sensor networks: it implies that nodes perfectly interleave periodic events to occur in a round-robin schedule. This primitive can be used to evenly distribute sampling burden in a group of nodes, schedule sleep cycles, or organize a collision-free TDMA schedule for transmitting wireless messages. Here we present a summary of Desync, a biologically-inspired self-maintaining algorithm for desynchronization in a single-hop network. We also describe Desync-TDMA, a self-adjusting TDMA protocol that addresses two weaknesses of traditional TDMA: it does not require a global clock and it automatically adjusts to the number of participating nodes, so that bandwidth is always fully utilized.
KW - Desynchronization
KW - Medium access control
KW - Pulse-coupled oscillators
KW - Self-organization
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=58449094062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58449094062&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-92191-2_18
DO - 10.1007/978-3-540-92191-2_18
M3 - Conference contribution
AN - SCOPUS:58449094062
SN - 3540921907
SN - 9783540921905
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 192
EP - 203
BT - Bio-Inspired Computing and Communication - First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007, Revised Selected Papers
T2 - 1st Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007
Y2 - 2 April 2007 through 5 April 2007
ER -