Quality of Service Provisioning in Biosensor Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
Biosensor networks are wireless networks consisting of tiny biological sensors (biosensors, for short) that can be implanted inside the body of human and animal subjects. Biosensors can measure various biological processes that occur inside the body of the subject under test. Applications of biosensor networks include automated drug delivery, heart beat rate monitoring, and temperature sensing. Since biosensor networks employ wireless transmission, heat is generated in the tissues surrounding the implanted biosensors. Human and animal tissues are very sensitive to temperature increase. Therefore, the generated heat is mitigated by the natural thermoregulatory system. However, excessive transmissions can cause a significant increase in temperature and thus tissue damage. Hence, there is a need for a mechanism to control the rate of wireless transmissions. Of course, controlling the rate of wireless transmissions will lead to Quality-of-Service (QoS) issues like the required minimum delay and throughput. In this paper, we are going to investigate the above issues using the framework of Markov Decision Processes (MDPs). We are going to develop several MDP models that will enable us to study the different trade-offs involved in QoS provisioning in biosensor networks. The optimal policies computed using the proposed MDP models are compared with greedy policies to show their vigilant behavior and viable performance.
Authors and Affiliations
Yahya Osais, Muhammad Butt
Keywords
Related Articles
- EP ID EP90864
- DOI 10.14569/IJACSA.2016.070774
- Views 125
- Downloads 0
Energy Efficient Clustering Using Fixed Sink Mobility for Wireless Sensor Networks
In this research an efficient data gathering scheme is presented using mobile sink as data collector with Clustering as sensor organizer in a randomly organized sensors in sensing field for wireless sensor network. The s...
An Information Hiding Scheme Based on Pixel-Value-Ordering and Prediction-Error Expansion with Reversibility
This paper proposes a data hiding scheme based on pixel-value-ordering and predication-error expansion. In a natural image, most neighboring pixels have similar pixel values, i.e. the difference between neighboring pixel...
Secure Medical Internet of Things Framework based on Parkerian Hexad Model
Medical Internet of Things (MIoT) applications enhance medical services by collecting data using devices connected to the IoT. The collected data, which may include personal data and location, is transmitted to mobile de...
A Features-based Comparative Study of the State-of-the-art Cloud Computing Simulators and Future Directions
Cloud computing has emerged during the last decade and turned out to be an essential component for today’s business. Therefore, many solutions are being proposed to optimize and secure the cloud computing environment. To...
Modified Random Forest Approach for Resource Allocation in 5G Network
According to annual visual network index (VNI) report by the year 2020, 4G will reach its maturity and incremental approach will not meet demand. Only way is to switch to newer generation of mobile technology called as 5...