Routing control method for single-antenna multi-channel cognitive wireless sensor network

Abstract

The invention provides a single antenna multichannel cognitive wireless sensor network route control method which is cross-layer optimized and aims at a cognitive wireless sensor network with single collecting nodes, single antenna and multichannel. According to the single antenna multichannel cognitive wireless sensor network route control method, route characteristic number concepts are defined, a multichannel half-holding phone mechanism is designed; a plurality of local routes are generated by utilizing channel priority of data transmission full paths and weighting and minimum of consumption of node collecting and sending as optimization indicators, the routes are saved in a route table of each node according to a combination manner of a channel or a node, the whole network route optimization is achieved by distributed routing algorithm, protocol pay expenses are reduced, network robustness is improved, and utilizing of opportunistic spectrum resources is convenient. Channel switching in data transmission is reduced due to application of the multichannel half-holding phone mechanism. According to testing results, quality of service (QoS) is supported by a routing protocol of the single antenna multichannel cognitive wireless sensor network route control method under the condition that the opportunistic spectrum resources and limiting of node consumption are utilized. Under the condition that node consumption is limited, communication delay and packet loss rate are reduced.

Description

Technical field: [0001] The invention relates to a routing protocol for cognitive wireless sensor network data communication, belongs to the field of information technology, and in particular relates to a single-antenna multi-channel cognitive wireless sensor network routing control method. Background technique: [0002] Wireless Sensor Networks (WSN) and a large number of other radio devices or systems share unlicensed frequency bands "unconstrained", and conflict with each other with a certain probability when using frequency resources, resulting in data transmission failure. To solve this problem, Cognitive Radio Sensor Networks (CRSN), which can capture and utilize opportunistic frequency resources, have received attention and research, and designing suitable routing algorithms is an important part of them. [0003] Regarding cognitive radio networks, there are currently a variety of routing protocols, a typical one is the document "EfficientRoutingAlgorithmsforMulti-Cha...

AI Technical Summary

Problems solved by technology

These protocols generally only focus on the internal communication quality of the network (such as data collisions, etc.), and usually do not consider the influence of external factors on routing selection under the coexistence of multiple devices; secondly, routes are generated in a single-hop manner, without considering the source node to destination node Optimization of the entire transmission path; for the on-demand route generation method, each node needs to re-find the path after receiving the data, which increases the transmission delay of the system to a certain extent; moreover, usually to reduce the energy consumption of nodes is the main goal, which is very important for WSNs with limited node energy

However, low energy consumption of nodes is not the only performance index of WSN. For some application fields with high real-time requirements (such as network control system, multimedia WSN, etc.), reducing transmission delay is undoubtedly a problem that cannot be ignored.

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