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Resource Aware Routing in Heterogeneous Opportunistic Networks

Author

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  • Sadaf Yasmin
  • Rao Naveed Bin Rais
  • Amir Qayyum

Abstract

In heterogeneous scenarios, nodes greatly differ with respect to their capabilities and mobility patterns. Moreover, episodic connectivity in opportunistic networks further aggravates the problem of finding a suitable next-hop to obviate unnecessary utilization of network resources. In this paper, we present a Multiattribute Routing Scheme (MARS) based on “Simple Multiattribute Rating Technique†(SMART) that collects samples of vital information about a node's different characteristics. This stochastic picture of a node behavior in multiple dimensions is then effectively employed in calculating its next-hop fitness. We also devise a method based on learning rules of neural networks which dynamically determines relative importance of each dimension to maximize next-hop utility of a node. With simulations, using synthetic and real mobility traces against well-known utility-based schemes, we show that MARS can achieve better delivery ratios despite introducing limited redundancy within the network.

Suggested Citation

  • Sadaf Yasmin & Rao Naveed Bin Rais & Amir Qayyum, 2016. "Resource Aware Routing in Heterogeneous Opportunistic Networks," International Journal of Distributed Sensor Networks, , vol. 12(1), pages 2907980-290, January.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:1:p:2907980
    DOI: 10.1155/2016/2907980
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