RT Journal Article
A1 D. Chinh Hoang
A1 R. Kumar
A1 S. Kumar Panda

PB iet
T1 Optimal data aggregation tree in wireless sensor networks based on intelligent water drops algorithm
JN IET Wireless Sensor Systems
VO 2
IS 3
SP 282
OP 292
AB Energy conservation is an important aspect in wireless sensor networks (WSNs) to extend the network lifetime. In order to obtain energy-efficient data transmission within the network, sensor nodes can be organised into an optimal data aggregation tree with optimally selected aggregation nodes to transfer data. Various nature-inspired optimisation methods have been shown to outperform conventional methods when solving this problem in a distributed manner, that is, each sensor node makes its own decision on routing the data. In this study, a novel optimisation algorithm called intelligent water drops (IWDs) is adopted to construct the optimal data aggregation trees for the WSNs. Further enhancement of the basic IWD algorithm is proposed to improve the construction of the tree by attempting to increase the probability of selecting optimum aggregation nodes. The computational experiment results show that the IWD algorithm is able to obtain a better data aggregation tree with a smaller number of edges representing direct communication between two nodes when compared with the well-known optimisation method such as ant colony optimisation. In addition, the proposed improved version of the IWD algorithm provides better performance in comparison with the basic IWD algorithm for saving the energy of WSNs.
K1 IWD algorithm
K1 network lifetime
K1 well-known optimisation method
K1 energy conservation
K1 direct communication
K1 computational experiment
K1 nature-inspired optimisation methods
K1 ant colony optimisation
K1 wireless sensor networks
K1 data routing
K1 probability
K1 optimisation algorithm
K1 intelligent water drops algorithm
K1 WSN
K1 energy-efficient data transmission
K1 optimal data aggregation tree
K1 conventional methods
K1 optimally selected aggregation nodes
K1 sensor nodes
DO https://doi.org/10.1049/iet-wss.2011.0146
UL https://digital-library.theiet.org/;jsessionid=3tq7dsjmuaisg.x-iet-live-01content/journals/10.1049/iet-wss.2011.0146
LA English
SN 2043-6386
YR 2012
OL EN