DocumentCode
3594532
Title
A novel application-semantics based hybrid QOS MAC in wireless sensor networks
Author
Fuyang Zhang ; Fanyong Meng ; Qingxu Xiong
Author_Institution
Sch. of Inf. Eng., Nanchang Univ., Nanchang, China
fYear
2014
Firstpage
456
Lastpage
461
Abstract
In this paper the nodes in a WSN are considered as the sinks dealing with different applications, which hieratically make up the network application. Ontology is used to semantically describe the application, so that nodes directly process and transmit application rather than data. Based on application semantics, a new hybrid application semantic MAC (AS-MAC) is put forward. Nodes send sub-tasks containing the semantics of sub-application and QoS parameters in a prioritized CSMA fashion to reply the cluster head´s task request, and a TDMA scheme with variable frame length is adopted to schedule the nodes selected by the cluster head according to their replies to carry out the sub-tasks to provide QoS guarantees. Because of the subtask negotiation during the selection of the nodes, the redundancy among data of the nodes could be eliminated efficiently, leading to better network performance. Simulation results demonstrate that AS-MAC achieves better performance in terms of energy consumption and delay than the popular MAC protocols such as ECR-MAC, ZMAC and S-MAC.
Keywords
access protocols; code division multiple access; quality of service; time division multiple access; wireless sensor networks; AS-MAC; CSMA; ECR-MAC protocols; S-MAC protocols; TDMA scheme; WSN nodes; ZMAC protocols; application-semantics based hybrid QoS MAC; cluster head task request; energy consumption; variable frame length; wireless sensor networks; Application Semantic; MAC Protocol; Quality of Service; Task Composition; Wireless Sensor Network;
fLanguage
English
Publisher
iet
Conference_Titel
Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 10th International Conference on
Print_ISBN
978-1-84919-845-5
Type
conf
DOI
10.1049/ic.2014.0145
Filename
7129673
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