A New Routing Protocols Based On Linear Regression In Mobile Wireless Sensor Network

Mobile Wireless Sensor Network(MWSN)is composed by a large number of wireless mobile nodes which have the function of sensing,due to the working environment of the nodes,the power only can be get from the battery which the node carries,energy has become one of the key issues in designing the routing protocols for mobile wireless sensor networks(MWSN).Therefore,I intends to conduct a research on the MWSN energy-saving routing protocol,mainly focusing on some factors that affect the performance of mobile wireless sensor network routing protocols,such as,network clustering,inter-cluster data transfer,node sleep scheduling mechanism,and consider the Influence of node mobility for protocol performance,the design of the protocol is to reduce the energy consumption of network and extend the life cycle of the network as the design criteria,and propose a routing protocol that is as energyefficient as possible.Thesis mainly proposes two routing protocols: an improved LEACH-M routing protocol and a routing protocol based on linear regression in mobile wireless sensor networks.For improved LEACH-M routing protocol.The choice of cluster head adopts a recommendation mechanism,that is,the previous round of cluster heads recommends a certain number of cluster heads which remaining energy is relatively bigger,the cluster head to be selected according to the remaining energy of the nodes,the distance from the base station to the node,and the mobility of node.When the competition for the selected the cluster head is successful,it will adaptively cluster and transfer data based on the distance from the base station and its remaining energy.This avoids the randomness selected by probability and makes the network energy consumption more balanced.Inter-cluster transmission based on the remaining energy of the node,the distance from the base station,and the energy consumed for transmission of data to selects the next hop cluster head.Experimental results show that the protocol reduces the energy consumption of the network in each cycle,balances the energy consumption of the entire network,and extends the life cycle of the network.Proposed a new routing protocol,An Energy Routing Protocol based on Linear Regression in MWSNs(ERLR).Firstly,the machine learning is used to learn the parameter ratio of the linear relationship E?max in the protocol,and the ratio is placed in the sensor node.Secondly,the protocol does not conduct cluster head election,but uses an event trigger mechanism.Event nodes can adaptively adjust their own competition radius,and select the next hop node within the competition radius.The protocol effectively reduces the energy consumption of nodes in electing the cluster heads,and adaptively adjusts the competition radius to avoid the generation of "hot spots".Finally,in order to achieve the goal of energy saving,choosing a route with the least energy consumption to pass the message to the base station will relatively reduce the energy consumption of the node and extend the life cycle of the network.Experimental results show that the performance of the protocol is better than other protocols which are mentioned in this article,and this protocol can extend the life cycle of the network.The above two protocols are energy-saving routing protocols,there are proposed for mobile base stations in mobile wireless sensor network routing protocols,and the nodes in both protocols can be adaptively adjusted according to their own conditions,extend the life cycle of the network is the goal for Improved LEACH-M routing protocol and An Energy Routing Protocol based on Linear Regression in MWSNs.