TY - GEN
T1 - Adaptive learning routing algorithm of WSNs based autonomous decentralized system approach
AU - Zhong, Sheng
AU - Zhang, Baihai
PY - 2010
Y1 - 2010
N2 - This paper investigates the routing protocols for randomly distributed wireless sensor networks (WSNs). A learning algorithm is proposed for computing the path on routing, and only few information of adjacent nodes is necessary. By using the depth first search strategy, and remembering the historical experience of path on routing, we can find next node, which illustrates the advantage of combination of autonomous decentralized systems approach and distributed estimation learning algorithm. Simulation example provided to show the usefulness and advantage of the developed results.
AB - This paper investigates the routing protocols for randomly distributed wireless sensor networks (WSNs). A learning algorithm is proposed for computing the path on routing, and only few information of adjacent nodes is necessary. By using the depth first search strategy, and remembering the historical experience of path on routing, we can find next node, which illustrates the advantage of combination of autonomous decentralized systems approach and distributed estimation learning algorithm. Simulation example provided to show the usefulness and advantage of the developed results.
KW - Autonomous decentralized systems
KW - Leaning algorithms
KW - Routing algorithms
KW - WSNs
UR - https://www.scopus.com/pages/publications/78149324784
U2 - 10.1109/ICNC.2010.5583124
DO - 10.1109/ICNC.2010.5583124
M3 - Conference contribution
AN - SCOPUS:78149324784
SN - 9781424459612
T3 - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
SP - 66
EP - 69
BT - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
T2 - 2010 6th International Conference on Natural Computation, ICNC'10
Y2 - 10 August 2010 through 12 August 2010
ER -