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Clustering-based multi-hop multi-channel cognitive wireless sensor network communication method

A technology for cognitive wireless sensing and communication methods, applied in the field of wireless sensor networks, can solve problems such as inability to apply and cannot be directly applied, and achieve the effects of reducing energy consumption, low latency and packet loss rate

Inactive Publication Date: 2014-03-12
SHANGHAI JIAO TONG UNIV +1
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  • Description
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Problems solved by technology

[0008] To sum up, most of the current MAC protocols cannot be directly applied to multi-hop CRSN, because some MAC protocols require nodes to have multiple antennas, and due to low power consumption requirements, wireless sensor networks Usually, only a single antenna is allowed for a node; some MAC protocols do not take into account the influence of the primary user, and cannot be directly applied to the network that coexists with the primary user; some only conduct research on the channel allocation management scheme for a single cluster, and cannot be applied into the multi-hop CRSN

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Embodiment Construction

[0036] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] In an embodiment of the present invention, each node has its own channel weight list, and the channel weight reflects the use status of the channel by the node, so how to define and maintain the channel weight value is a very important issue. The change of the channel weight value occurs when the node detects different states of the channel. Relative to the node, the channel has several states as follows:

[0038] 1) Idle (Idle): This state appears in the channel perception stage, that is, the secondary user perceives that the channel is available;

[0039] 2) Busy (Busy): This state also occurs in the channel sensing stage, that is, the secondary user perceives the existence of the primary user on the channel, and the channel is unavailable;

[0040] 3) Communication: This state occurs when the secondary user perceive...

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Abstract

The invention relates to a clustering-based multi-hop multi-channel cognitive wireless sensor network communication method. In the method, the frame structure of a node is designed into a segmental structure, and a work period of the node is divided into a channel cognition and selection stage, a channel allocation stage, a data transmission stage and a dormant stage. According to the invention, a media access criteria is designed for the node in each cluster to provide intra-cluster uncontested communication, and at the same time, in order to alleviate problems, such as hidden terminals, etc., with inter-cluster communications, on the basis of the media access criteria, an assignment process in which channel weighing is performed according to the channel state is designed, and in order to better reduce the energy consumption, a channel selection criteria is further designed. The method of the invention can be used to realize advantages of high network throughput, low time delay and low packet loss rate on the basis of reducing the data packet transmission capacity, and is suitable for the spectrum access and spectrum switching strategy in a cognitive wireless sensor network.

Description

technical field [0001] The present invention relates to a method in the technical field of wireless sensor networks, in particular to a MAC protocol in a cluster-based cognitive wireless sensor network, in particular to a cluster-based multi-hop multi-channel cognitive wireless sensor network communication method. Background technique [0002] Since the frequency band in which wireless sensor networks work is an unlicensed frequency band, as the frequency band becomes more and more crowded, cognitive radio technology is introduced into wireless sensor networks as a good technology to solve the limited spectrum resources. Combining the characteristics of limited energy of nodes in traditional wireless sensor networks, the design of MAC protocol for energy efficiency in cognitive wireless sensor networks (CRSN) is a key research direction. [0003] O.Boyinbode, H.Le, A.Mbogho, M.Takizawa, and R.Poliah's literature "A survey on clustering algorithms for wireless sensor network...

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Application Information

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IPC IPC(8): H04W72/04H04W84/18
CPCY02B60/50Y02D30/70
Inventor 徐彦超何晨蒋铃鸽田军
Owner SHANGHAI JIAO TONG UNIV
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