Conclusions and Future Work
In this paper, projected work is compared with existing approaches PSO and ACO. Proposed approach is better in terms of first node dead, packets reached to the base station and all nodes dead in the network as compare to the PSO and ACO. Energy consumption is one of the most prominent research areas in WSNs. If network has less energy consumption then network lives longer. Artificial intelligence based techniques may further help in improving the network lifetime and throughput. Ant colony optimization may used for the better routing in WSNs and PSO isgood solution for clustering based data aggregation to select the cluster head in network. Fuzzy logic based approaches may be used for calculating the fitness function in the network. In future, combination of these approaches may be tried to check the suitability of these approaches for WSNs.
