DocumentCode
3604459
Title
Cross-Layer Admission Control to Enhance the Support of Real-Time Applications in WSN
Author
Pinto, Pedro ; Pinto, Antonio ; Ricardo, Manuel
Author_Institution
Inst. Politec. de Viana do Castelo, Viana do Castelo, Portugal
Volume
15
Issue
12
fYear
2015
Firstpage
6945
Lastpage
6953
Abstract
Real-time monitoring applications may be used in a wireless sensor network (WSN) and may generate packet flows with strict quality of service requirements in terms of delay, jitter, or packet loss. When strict delays are imposed from source to destination, the packets must be delivered at the destination within an end-to-end delay (EED) hard limit in order to be considered useful. Since the WSN nodes are scarce both in processing and energy resources, it is desirable that they only transport useful data, as this contributes to enhance the overall network performance and to improve energy efficiency. In this paper, we propose a novel cross-layer admission control (CLAC) mechanism to enhance the network performance and increase energy efficiency of a WSN, by avoiding the transmission of potentially useless packets. The CLAC mechanism uses an estimation technique to preview packets EED, and decides to forward a packet only if it is expected to meet the EED deadline defined by the application, dropping it otherwise. The results obtained show that CLAC enhances the network performance by increasing the useful packet delivery ratio in high network loads and improves the energy efficiency in every network load.
Keywords
telecommunication congestion control; wireless sensor networks; cross-layer admission control; energy efficiency; network performance; real-time monitoring applications; wireless sensor network; Admission control; Delays; Estimation; Peer-to-peer computing; Proposals; Sensors; Wireless sensor networks; Admission Control; End-to-End Delay; Estimation; WSN; admission control; end-to-end delay; estimation;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2015.2467329
Filename
7192617
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