Abstract
WSN multimedia services are currently being used by several types of applications. These services experiences performance related issues in the form of slow data rates, packet loss etc. due to stringent resources. Lots of solutions are contributed to develop a system that optimizes the resources utilization, performance and packet loss. Performance evaluation for enhancing QoS of WSN is also required where packets arrive and depart the service facility (sink) in burst. In this paper, novel analytical approach is developed for packets arrival from sensor node in burst and departure of services after getting the facility, in burst. The evaluation has been performed by shifting coefficient of variance for the time when services are provided in burst and when services are arrived on different scales of utilization of the sink node. At the end of this paper quantitative results are compared after applying priority to data packets to check credibility of proposed solution.
Highlights
Rapid Technological progress in micro-electro-mechanical systems (MEMS) and radio components enabled a new generation real-time embedded Wireless Sensor Networks (WSNs) [1, 2]
The research is motivated by the fact that utilization efficiency of wireless sensor networks (WSN) is enormous in many fields such as surveillance, industrial and consumer applications, health monitoring, and so on [3,4,5] whereas on the other hand the lack of proper thoroughly evaluated communication protocols is a major factor in its slow and restricted growth
Major factor in quality of service (QoS) metrics in WSNs is in reliability of network and quality
Summary
Rapid Technological progress in micro-electro-mechanical systems (MEMS) and radio components enabled a new generation real-time embedded Wireless Sensor Networks (WSNs) [1, 2]. These devices communicate with each other over physical environment, perhaps for a short duration, with common capabilities of distributed sensing, storing and for collaboration in a more convenient manner. Some applications of WSNs beside aforementioned characteristics require high quality In this scenario, major factor in quality of service (QoS) metrics in WSNs is in reliability of network and quality. The scheme of multimedia traffic in WSN with Quality of Service (QoS) assures the required performance and analysis modeling of nodes of Queuing Network Models (QNMs). To evaluate the WSN the packets arrive in burst and depart in burst, we have first derived analytical expressions for performance evaluation, followed by numerical results
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