TY - GEN
T1 - Energy-efficient flow control and routing for clustered wireless sensor networks
AU - Moon, Soo Hoon
AU - Han, Seung Jae
AU - Park, Sunju
PY - 2013
Y1 - 2013
N2 - In clustered wireless sensor networks, a numerous work for energy efficient routing has been conducted. These works are mainly focused on the decision of energy efficient routing between clusters. In this paper, we change a view of clustered network to a set of 'cluster-rings'. A cluster-ring is the doughnut-shaped set of clusters which is placed roughly same distance from sink node. First, we decide the amount of 'data flow' to be forwarded between the 'cluster-rings', rather than between the 'clusters'. After the proportion of data flow is decided, the routing between clusters in two cluster-rings is performed. In short, traditional concept of routing between clusters is transformed into the flow control of cluster-ring and routing of clusters between cluster-rings. As an initial work to realize this new concept, we propose a flow control algorithm, called AFC, and routing algorithm named FA-C. AFC uses the technique of reinforcement algorithm to decide near-optimal data flow. FA-C adopts effective shortest cost path metric to select the relay node which is actually forwards the data to the sink node. The simulation results show that the performance of proposed algorithms asymptotically approaches that of optimal result. The proposed algorithm performs well under different energy efficiency criteria and adapts well under dynamic traffic change. The parallel execution of the proposed algorithm improves the speed of convergence significantly.
AB - In clustered wireless sensor networks, a numerous work for energy efficient routing has been conducted. These works are mainly focused on the decision of energy efficient routing between clusters. In this paper, we change a view of clustered network to a set of 'cluster-rings'. A cluster-ring is the doughnut-shaped set of clusters which is placed roughly same distance from sink node. First, we decide the amount of 'data flow' to be forwarded between the 'cluster-rings', rather than between the 'clusters'. After the proportion of data flow is decided, the routing between clusters in two cluster-rings is performed. In short, traditional concept of routing between clusters is transformed into the flow control of cluster-ring and routing of clusters between cluster-rings. As an initial work to realize this new concept, we propose a flow control algorithm, called AFC, and routing algorithm named FA-C. AFC uses the technique of reinforcement algorithm to decide near-optimal data flow. FA-C adopts effective shortest cost path metric to select the relay node which is actually forwards the data to the sink node. The simulation results show that the performance of proposed algorithms asymptotically approaches that of optimal result. The proposed algorithm performs well under different energy efficiency criteria and adapts well under dynamic traffic change. The parallel execution of the proposed algorithm improves the speed of convergence significantly.
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U2 - 10.1109/ICOIN.2013.6496356
DO - 10.1109/ICOIN.2013.6496356
M3 - Conference contribution
AN - SCOPUS:84876760040
SN - 9781467357401
T3 - International Conference on Information Networking
SP - 83
EP - 88
BT - International Conference on Information Networking 2013, ICOIN 2013
T2 - 27th International Conference on Information Networking, ICOIN 2013
Y2 - 27 January 2013 through 30 January 2013
ER -