The invention discloses an energy-saving transmission self-adaption recursive
least squares (RLS) distributed-type detection method of a
wireless sensor network. Through the updating process of an increment of a distributed-type RLS weight number, the situation that measurement data of all-network nodes are utilized to
train the distributed-type RLS weight number of a medium bridge of a bridge node set is achieved, convergence performance of an RLS
algorithm is ensured, and the convergence performance is equivalent with that of an existing all-network distributed-type RLS
algorithm. Distributed-type RLS weight number
estimation is conducted on bridge nodes, adjacent transmission of the weight number is conducted on a sub-network of the bridge nodes, transmission updating of the weight number is achieved, and distributed-type detection is achieved. The energy-saving transmission self-adaption RLS distributed-type detection method of the
wireless sensor network has the advantages that all-
network parameter calculation and transmission in the prior art are avoided, communication traffic and node operation quantity are reduced,
energy consumption is saved, and stability is high. In addition, the RLS weight number is calculated on the bridge nodes, all-network node
data information is utilized, and performance of the
algorithm is ensured. Under conditions of less
energy consumption and lower
network communication traffic, all-network
detection performance can be achieved, and performance of the
wireless sensor network is improved.