Hybrid Cross Layer Fault Resilient Energy Efficient Data Transmission for Underwater Acoustic Sensor Networks
Vidyalakshmi K1, M.Siddappa2, B.Shanmukha3
1Mrs.Vidyalakshmi K, Assistant Professor in the Department of Computer Science and Engineering at BGS Institute of Technology, BG Nagar, Mandya, Karnataka, India.
2Dr.M.Siddappa, Professor and Head, Dept. of Computer Science and Engineering and aslo is the Dean Academics at Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India.
3Dr.B.Shanmukha, Associate Professor in the department of Mathematics at PES College of Engineering Mandya.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2998-3004 | Volume-8 Issue-12, October 2019. | Retrieval Number: k23300981119/2019©BEIESP | DOI: 10.35940/ijitee.k2330.1081219
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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: Under water acoustic sensor network is the unique case of wireless sensor network in which the physical characteristics limits the capability of sensor network due to various problems like Doppler-spreads, medium significnt delay, Double-side spreading, limited bandwidth and frequencyselective fading. Ensuring QOS is very challenging problem in acoustic sensor networks. In this work, a QOS centric hybrid routing protocol with consideration of fault resilience is proposed. The solution use the parameters of the network at all Application Layer, Network Layer, MAC Layer, and PHY Layer, which are the different layers of IEEE 802.15.4 protocol stack, thus calculating Node selection score which helps in identifying the best forwarding node for a constrained reliable data transmission. The solution involves dynamic link quality estimation, congestion awareness, packet injection ratio estimation and physical switching that cumulatively ensures fault-resilient and QoS delivery over acoustic sensor network.
Keywords: Error Correcting Codes, Fault tolerance service, Reed-Solomon, Super Cluster, Under Water Sensor network, Wireless Sensor Network.
Scope of the Article: Underwater Sensor Networks