Optimizing Efficient Routing in Underwater Delay Tolerant Networks

Authors

  • Ananya Sharma  Student, Department of Computer Science Engineering, Bharati Vidyapeeth College of Engineering, New Delhi, India
  • Ashna Goel  Student, Department of Computer Science Engineering, Bharati Vidyapeeth College of Engineering, New Delhi, India
  • Shubhi Mittal  Student, Department of Computer Science Engineering, Bharati Vidyapeeth College of Engineering, New Delhi, India
  • Preeti Nagrath  Assistant Professor, Department of Computer Science Engineering, Bharati Vidyapeeth College of Engineering, New Delhi, India

Keywords:

DTN, WSN , AVS, TTL, Base Station, Routing Protocol, DTN

Abstract

DTN is the latest growing technology breaking geographical barriers. The DTN layout & bundle protocol present a standard method for interconnecting heterogeneous challenged networks using asynchronous message switching. It furnishes a structure for dynamic routing, contact scheduling, naming, reliability and transmission status reports. Wireless Sensor Networks (WSNs) are often viewed as challenging networks because the nodes operate at low power, often with weak or intermittent radio communication. This report aims to evaluate the various routing protocols in DTN as a solution for messaging in the aquatic underwater environment through sensor networks, implementing the successful terrestrial based routing protocols, Prophet protocol and Epidemic protocol of DTN in underwater environment.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 3, Issue 8, November-December-2017

Section

Research Articles

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Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ananya Sharma, Ashna Goel, Shubhi Mittal, Preeti Nagrath "Optimizing Efficient Routing in Underwater Delay Tolerant Networks" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.121-124, November-December-2017.