Abstract

Underwater Sensor Network (UWSN) is gaining popularity among researchers due to its peculiar features. But there are so many challenges in the design of the UWSN system, and these are quite unsustainable due to the dynamic nature of water waves. Perhaps the most tedious challenge for UWSNs is how to transfer the data at the destination with a minimal energy rate. It can be accomplished by exploiting geographic and opportunistic routing schemes to send the data efficiently to the surface sinks in cooperation with relay nodes. With this aim, we introduce a new protocol for routing, named Geographic and Cooperative Opportunistic Routing Protocol (GCORP). In GCORP, the packets are routed from the source node to the surface sinks in coordination with intermediate relay nodes. In GCORP protocol, initially, multiple sinks-based network architecture is established. Then, a relay forwarding set is being determined by the source node on the basis of depth fitness factor. Finally, the best relay is determined through the weight calculation scheme from the relay forwarding set. We conduct the simulations in NS3 to validate the proposed GCORP routing protocol concerning different network metrics. The simulations conclude that the GCORP protocol shows better performance than existing approaches.

Highlights

  • Our planet Earth is covered by a 3/4 ratio with water in terms of oceans, seas, rivers, lakes, streams, and canals

  • This section sets out the four network metrics used for the evaluation of our proposed Geographic and Cooperative Opportunistic Routing Protocol (GCORP) protocol and which are: Packet Delivery Ratio (PDR), average End-2-End Delay (E2E) delay, average Energy Consumption (EC), and average Network Lifetime (NLT)

  • The source node has determined a relay forwarding set from its neighboring relay node by calculating the fitness factor on the ground of depth data

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Summary

INTRODUCTION

Our planet Earth is covered by a 3/4 ratio with water in terms of oceans, seas, rivers, lakes, streams, and canals. Due to the dynamic characteristics of water waves and extreme attenuation, the UWSNs are susceptible to the channel fading, and the packet loss probability is at an extreme level It is recommended by the geographic routing to curtail the cost by minimizing the transmission frequency and energy consumption. Rahman et al [15] have proposed an Energy-Efficient Cooperative Opportunistic Routing (EECOR) scheme, in which the best relay is nominated on the basis of the PDP together with the residual energy of each node by applying a fuzzy rule They proposed a holding time model to curtail the number of retransmissions and packet collisions during the communication between the nodes. The bit error probability over distance DiRk is formulated as [48]:

ENERGY MODEL
BEACON MODEL
SIMULATION RESULTS
NETWORK METRICS
CONCLUSION
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