Service Differentiated QOS Guaranteed Cross Layer Solution for Underwater Acoustic Sensor Networks (SD-QCLS)
Vidyalakshmi K1, M.Siddappa2, B.Shanmukha3
1Vidyalakshmi K Research Scholar Dept. of Computer Science & Engineering VTU-RRC, Belagavi, Karnataka, India.
2Dr. B.Shanmukha Professor & Head Dept. of Computer Science & Engineering Sri Siddhartha Institute of Technology Tumakuru, Karnataka, India.
3Dr.M.Siddappa Associate Professor Dept. of Mathematics PES College of Engineering Mandya, Karnataka, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 155-161 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6567098319/2019©BEIESP | DOI: 10.35940/ijrte.C6567.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Physical characteristics limits the capability of sensor network in case of underwater deployment. Factors like medium delay, doppler spreads and limited bandwidth are challengers to achieve a QoS (Quality of Service) guarantee in under water acoustic sensor networks. Under these conditions maximizing the bandwidth availability with consideration for application traffic requirements is important. This work proposes a service differentiated QOS guaranteed cross layer solution to maximize the available bandwidth and life time of the network under the constraints of application traffic requirements. At all different layers of IEEE 802.15.4 protocol stack, i.e., Application Layer, Session Layer, Network Layer, MAC Layer, and PHY Layer, the solution uses network parametes to optimize available bandwidth and also QoS. The solution involves redundancy and prediction based content coding at application layer, QoS based rate control at session layer, load based routing, transmission range adjustment at physical layer for guaranteed QoS delivery over acoustic sensor network.
Keywords: Error Control Code, Link quality, Residual energy, Route Desirability Factor.
Scope of the Article: Adhoc and Sensor Networks.