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International Journal of Physical Sciences
Several algorithms have already been provided for problems of data aggregation in wireless sensor networks, which somehow tried to increase networks lifetimes. In this study, we dealt with this problem using a more efficient method by taking parameters such as the distance between two sensors into account. In this paper, we presented a heuristic algorithm based on distributed learning automata with variable actions set for solving data aggregation problems within stochastic graphs where thedoi:10.5897/ijps12.325 fatcat:o5nhfdob4ba7pe274nzxkjkmge