TY - JOUR
T1 - Swarm Intelligence for Network Communication Routing
AU - Nagar, Gauri
AU - Sood, Arpit
AU - Roopak, Monika
PY - 2013/5/1
Y1 - 2013/5/1
N2 - In communications network research, there is currently an increasing interest for the paradigm of autonomic computing [3]. The idea is that networks are becoming more and more complex and that it is desirable that they can self-organize and self-configure, adapting to new situations in terms of traffic, services, network connectivity, etc. To support this new paradigm, future network algorithms should be robust, work in a distributed way, be able to observe changes in the network, and adapt to them.
AB - In communications network research, there is currently an increasing interest for the paradigm of autonomic computing [3]. The idea is that networks are becoming more and more complex and that it is desirable that they can self-organize and self-configure, adapting to new situations in terms of traffic, services, network connectivity, etc. To support this new paradigm, future network algorithms should be robust, work in a distributed way, be able to observe changes in the network, and adapt to them.
KW - ACO-Ant Colony Optimization
KW - ABC-Ant Based Control
KW - MANET-Mobile Ad hoc Network
KW - AODV- Ad hoc On-demand Distance vector Routing
KW - TABR- Two Ant Based Routing Algorithm
UR - https://www.ijcsmc.com/
M3 - Article
VL - 2
SP - 268
EP - 274
JO - International Journal of Computer Science and Mobile Computing
JF - International Journal of Computer Science and Mobile Computing
SN - 2320-088X
IS - 5
ER -