The Nelson Mandela African Institution of Science and Technology, School of Computational Science and Communication Engineering, Arusha, Tanzania. Faculty of Economic Science and Information Technology, TIRDO/North West University, Vanderbijlpark, South Africa.
The growing demand of usage of wireless sensors applications in different aspects makes the quality-of-service (QoS) to be one of paramount issues in wireless sensors applications. Quality of service guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the resources available of sensors and the various applications running over these networks have different constraints in their nature and requirements. Traditionally quality of service was focused on network level with concern in metrics such as delay, throughput, jitter e.c.t. In this paper we present appropriate metrics of QoS for WSN which involve service, reliability and availability which ultimately facilitating in archiving qualitable service. We discuss the reverse look of QoS and hence present mathematically the three significant quality factors that should currently be taken into account in developing WSNs application quality services namely, availability, reliability and serviceability. We run experiments incorporating these three phenomenons (reliability, availability and serviceability—RAS) to demonstrate how to attain QoS which effectively improve reliability of the overall WSNs.
J. E. Mbowe and G. S. Oreku, "Quality of Service in Wireless Sensor Networks," Wireless Sensor Network, Vol. 6 No. 2, 2014, pp. 19-26. doi: 10.4236/wsn.2014.62003.
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http://dx.doi.org/10.1109/ICSE.2004.1317509