Bio-Inspired Wireless Sensor Network Networking Strategy Research

With the fast development of wireless sensor network and its continuously expanding application areas, research on wireless sensor network penetrates deeply. At meanwhile, bio-inspired as a technological innovation idea provides a broader perspective for various fields of research. Leading bio-inspired study into wireless sensor network has gradually become a new hot spot.This thesis gets inspired from the communication of individual organisms in group, conducts in-depth discussion and principle mining, finds the similarities with wireless sensor network and proposes a bio-inspired wireless sensor network networking strategy.According to the biological exchange feature and target selection, this thesis classifies the node information into gene profile and current form two parameter sets and elicits the concept of friend degree with its formula as the routing standard. Then, node update strategy is designed and friend degree update strategy is proposed for keeping the friend degree undistorted. Consider the redundant or duplicate data collected and in order to reduce unnecessary data transmission, fuzzy strategy is adopted to determine whether the data need to be sent.Finally, a series of simulation experiments are conducted to verify the feasibility and effectiveness. Regulate several parameters to observe network performance; compare with classical protocol on node survival; simulate data transmission strategy. Experiments indicate that the networking strategy could change focus by adjusting parameters, balance load and extend the network lifetime effectively.