Open, peer-reviewed, and citable.

1 publication shown

• Peer-reviewedSensors & Networks

  Cut Detection in Remote Versatile Wireless Sensor Mobile Networks

  Leeladhar AnnepuORCID 0009-0006-8720-8657

  Journal

  International Journal of Advances in Applied Sciences (IJAAS)

  Indexed

  Garuda Digital Reference (Garba Rujukan Digital)

  • wireless sensor networks
  • mobile nodes
  • cut detection
  • network survivability

  Read abstractCopy BibTeXRead on IJAASGaruda record

  Abstract

  A wireless sensor network is only useful while its nodes can still reach the sink that collects their data. When nodes fail, run out of energy, or move out of range, the network can split into disconnected parts. This is a “cut”: the nodes on the far side keep sensing, but their readings never arrive.

  The paper addresses detecting these partitions in remote deployments where nodes are mobile, so the topology changes constantly and a lost link does not always mean a lost region. Detecting a cut lets disconnected nodes know they are cut off and lets the sink know which region it can no longer hear from.

  Fast, reliable cut detection underpins network survivability: it is the trigger for rerouting, redeploying mobile nodes to bridge the gap, or flagging data gaps before they are mistaken for real-world silence.

  BibTeX

  @article{annepu_cut_detection,
    author    = {Leeladhar Annepu},
    title     = {Cut Detection in Remote Versatile Wireless Sensor Mobile Networks},
    journal   = {International Journal of Advances in Applied Sciences (IJAAS)},
    url       = {https://ijaas.iaescore.com/index.php/IJAAS/article/view/849/5779}
  }