This paper deals with a cognitive overlay IEEE 802.15.4e wireless sensor network relying on a low complexity spectrum sensing technique. In particular, the paper critically compares two spectrum sensing schemes with the aim at identifying the most appropriate solution in terms of performance and implementation complexity. Furthermore, the paper provides an analytical framework to investigate the cognitive overlay IEEE 802.15.4e wireless sensor network behavior in terms of throughput, packet dropping probability and energy efficiency. The obtained results clearly highlight the good behavior of the proposed approach, without burdensome cost or complexity and its advantages for several emerging applications as those supported by Fog Computing architectures.

Performance Evaluation of An Adaptive Channel Allocation Technique for Cognitive Wireless Sensor Networks / Chiti, Francesco; Fantacci, Romano; Tani, Andrea. - In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. - ISSN 0018-9545. - STAMPA. - (2017), pp. 5351-5363. [10.1109/TVT.2016.2621140]

Performance Evaluation of An Adaptive Channel Allocation Technique for Cognitive Wireless Sensor Networks

CHITI, FRANCESCO;FANTACCI, ROMANO;Tani, Andrea
2017

Abstract

This paper deals with a cognitive overlay IEEE 802.15.4e wireless sensor network relying on a low complexity spectrum sensing technique. In particular, the paper critically compares two spectrum sensing schemes with the aim at identifying the most appropriate solution in terms of performance and implementation complexity. Furthermore, the paper provides an analytical framework to investigate the cognitive overlay IEEE 802.15.4e wireless sensor network behavior in terms of throughput, packet dropping probability and energy efficiency. The obtained results clearly highlight the good behavior of the proposed approach, without burdensome cost or complexity and its advantages for several emerging applications as those supported by Fog Computing architectures.
2017
5351
5363
Chiti, Francesco; Fantacci, Romano; Tani, Andrea
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1056159
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