SLP-E: Enhancing Privacy and Lifespan in WSNs for IoT


The Department of Computer Science and Engineering is thrilled to share that the paper titled, “A Total Randomized SLP Preserving Technique with Improved Privacy and Lifetime in WSNs for IoT and the Impact of Radio Range on SLP” has been published by Dr Manjula R, Assistant Professor, Department of CSE, and BTech-CSE Student Mr Tejodbhav Koduru in “Sensors“, a Q2 journal, having an Impact Factor of 3.9. Their research addresses the critical need for improved source location privacy and extended network longevity, presenting a pioneering solution known as Source Location Privacy with Enhanced Privacy and Network Lifetime (SLP-E).


SLP-E utilises a unique combination of techniques, including a reverse random walk, a walk on annular rings, and min-hop routing, to diversify routing pathways within the network. Unlike existing SLP techniques that either prioritize privacy over network lifetime or vice versa, this approach aims to simultaneously enhance safety period, network lifetime, and privacy uniformly. Notably, this research also explores the impact of sensor radio range on Network Lifetime metrics and privacy strength within the context of SLP in WSN.

Practical Implementation/Social Implications of the research

This research holds real-world significance, especially in scenarios like protecting a lone white giraffe in Kenya fitted with a GPS tracker. Poachers pose a serious threat to such animals, hacking GPS devices to locate and harm them. This solution offers a viable approach to mitigate these threats, providing practical implications for the conservation of endangered species.


  • Mr Tejodbhav Koduru from SRM University-AP
  • Prof. Raja Datta from IIT Kharagpur
  • Ms Florence Mukamanzi, Dr Damien Hanyurwimfura and Prof. Mukanyiligira Didacienne from the African Center of Excellence in the Internet of Things, University of Rwanda

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