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Movement Pattern Extraction Method in OppNet Geocast Routing

  • Aliyu M. AbaliEmail author
  • Norafida Bte Ithnin
  • Muhammad Dawood
  • Tekenate Amah Ebibio
  • Wadzani A. Gadzama
  • Fuad A. Ghaleb
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)

Abstract

OppNets is a subset of MANET in which there is no point to point connection between devices. Despite challenges of intermittent connectivity and unpredictable mobility characteristics, mobile nodes need to communicate and share valuable information without infrastructure. The routing strategy in OppNet follows a store-carry-forward paradigm, in which a node store messages in its buffer, carry the messages as it moves about its daily activities and opportunistically relay the messages one after another upon meeting their target destinations. This paper presents a movement pattern extraction, a new approach for extracting regular movement pattern of nodes from existing traces to predict a node future location. Human movement is predictable with a high degree of certainty that people visit certain locations and have the opportunity to meet other people on a regular basis. The proposed method incorporate message lifetime and previous history of encounter to extract locations from the GPS trace with respect to message lifetime using Neural Network to predict future location visit of nodes. Prediction method can be used in geocast routing schemes to determine the node’s contribution in forwarding a message to a destination location. Experiment result indicates that the proposed method achieves significant performance over existing methods in terms of accuracy and stability in prediction.

Keywords

OppNets Geocast Movement pattern extraction 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Aliyu M. Abali
    • 1
    Email author
  • Norafida Bte Ithnin
    • 1
  • Muhammad Dawood
    • 1
  • Tekenate Amah Ebibio
    • 1
  • Wadzani A. Gadzama
    • 2
  • Fuad A. Ghaleb
    • 1
  1. 1.School of Computing, Faculty of EngineeringUniversiti Tekenologi MalaysiaJohor BahruMalaysia
  2. 2.Federal Polytechnic MubiYolaNigeria

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