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Study on the algorithm for smart community sensor network routing with adaptive optimization via cluster head election
Author(s) -
Yongqiang He
Publication year - 2020
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/coin.12304
Subject(s) - computer science , cluster analysis , energy consumption , wireless sensor network , node (physics) , ant colony optimization algorithms , network packet , algorithm , data transmission , transmission (telecommunications) , real time computing , computer network , artificial intelligence , engineering , telecommunications , structural engineering , electrical engineering
To reduce the uneven energy consumption for the data transmission and extend network life of intelligent community sensor network, an adaptive routing optimized algorithm for intelligent community sensor networks with cluster head election is proposed. In this algorithm, a three‐dimensional clustering method adapted to the structure of intelligent community sensor network is proposed. The three‐dimensional clustering method uses the cluster head election mechanism based on minimizing the total transmission loss to optimize the energy of the intelligent community sensor network. Second, an adaptive ant colony propagation method is proposed to solve the problem of intercluster data propagation after clustering. With the best path finding algorithm of ant colony algorithm, energy balance routing with lower energy loss and lower packet error rate is proposed. Finally, the simulation results show that the algorithm has better performance in reducing energy consumption and delay, improving transmission efficiency and node survival time.