Experimental Assessment of Using Network Coding and Cooperative Diversity Techniques in IEEE 802.15.4 Wireless Sensor Networks

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Valle, OT (Author) Other; Budke, G (Author) Other; Montez, C (Author) Other; Pinto, AR (Author) Other; Hernandez, F (Author) Other; Francisco Vasques (Author) FEUP; Vargas, F (Author) Other; Gatti, E (Author) Other

Conference proceedings International

Title: IEEE World Conference on Factory Communication Systems, WFCS 2016, Aveiro, Portugal, May 3-6, 2016

Pages: 1-4

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-00K-MR1

DOI: 10.1109/WFCS.2016.7496521

Abstract (EN): The use of wireless sensor networks (WSN) to support critical monitoring applications is becoming a relevant topic of interest. These networks allow a highly flexible approach to data monitoring and, consequently, a major breakthrough for several application domains, from industrial control applications to large building domotics and health care applications. One of the major impairments of using wireless networks to support critical monitoring applications is the electromagnetic noise, which may increase the packet loss ratio to unacceptable values. In this paper, we assess different techniques of cooperative communication and network coding that can be useful to mitigate the aforementioned problem. These techniques may be implemented in WSN nodes in conformance with the IEEE 802.15.4 standard, to reduce the impact of electromagnetic interferences upon the packet loss ratio. In this paper, we report an experimental assessment of the network coding and cooperative diversity techniques, where the network is subjected to a controlled electromagnetic interference inside of an anechoic chamber. The experimental results show that, by using these techniques, it is possible to increase the success rate of communication in typical electromagnetic noisy environments.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4