Self-adaptive wireless sensor network routing method based on cross-layer optimization

Abstract

The invention discloses a self-adaptive wireless sensor network routing method based on cross-layer optimization. In a physical layer, an energy supplement and power control mechanism is adopted to transfer energy information and transmitting power parameters of a wireless sensor node in a wireless sensor network to an MAC (media access control) layer; in the MAC layer, the information transferred by the physical layer is utilized to carry out sleep scheduling to regulate network connectivity and a sleep rate; and a network layer adapts to parameter change of each of above layers and adopts a double-bounce greedy path to carry out routing selection. The method achieves an integrative optimization aim of prolonging the service life of the network and improving data transmission reliability and timeliness by utilizing the interaction of the parameter information of each layer of a network; and on the basis of comprehensively considering the energy supplement and power control technology of the physical layer, the sleep scheduling of the MAC layer and the routing of the network layer in a network system structure, the cross-layer design structure applicable to the wireless sensor network is provided, so as to better describe the interaction among all the layers. The overall performance of the wireless sensor network is effectively improved finally.

Description

technical field [0001] The invention relates to a wireless sensor network routing method, in particular to an adaptive wireless sensor network routing method based on cross-layer optimization, and belongs to the technical field of wireless sensor networks. Background technique [0002] With the development of micro-electromechanical technology, sensor technology, communication technology, embedded computing technology, distributed information processing technology and network technology, the research of wireless sensor networks (WSNs) with easy distribution and low power consumption has become more and more popular all over the world. It has been paid more and more attention, and has broad application prospects in many fields such as industrial control, environmental detection, medical monitoring, transportation, emergency rescue and disaster relief. A wireless ad hoc sensor network is usually composed of a large number of nodes with functions of information collection, data...

AI Technical Summary

Problems solved by technology

The disadvantage is that wireless sensor networks face unique technical challenges due to energy constraints, resource constraints, and frequent topology changes.

Traditional routing methods cannot adapt to WSNs. For example, the traditional shortest path criterion to design routing protocols for wireless multi-hop networks does not take into account factors such as the impact of changes in the physical channel characteristics of the underlying layer on the access performance of the MAC layer, resulting in the path selected cannot adapt to the underlying layer. Changes in performance, that is, performance such as transmission delay, throughput, and reliability cannot achieve ideal indicators. Therefore, a corresponding simple and effective routing method must be designed

Images