Load balancing routing with queue overflow prediction for WSNs

  • Hamadoun Tall
  • Gérard Chalhoub
  • Nadir Hakem
  • Michel Misson
Article
  • 47 Downloads

Abstract

The ease of deployment of Wireless Sensor Networks (WSNs) makes them very popular and useful for data collection applications. Nodes often use multihop communication to transmit data to a collector node. The next hop selection in order to reach the final destination is done following a routing policy based on a routing metric. The routing metric value is exchanged via control messages. Control messages transmission frequency can reduce the network bandwidth and affect data transmission. Some approaches like trickle algorithm have been proposed to optimize the network control messages transmission. In this paper, we propose a collaborative load balancing algorithm (CoLBA) with a prediction approach to reduce network overhead. CoLBA is a queuing delay based routing protocol that avoids packet queue overflow and uses a prediction approach to optimize control messages transmission. Simulation results on Cooja simulator show that CoLBA outperforms other existing protocols in terms of delivery ratio and queue overflow while maintaining a similar end-to-end delay.

Keywords

Wireless Sensor Networks Routing protocol Congestion Load balancing Prediction Overhead 

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.LIMOS UMR 6158 CNRSUniversity of Clermont AuvergneAubièreFrance
  2. 2.Laboratoire de Recherche Télébec en Communications Souterraines (LRTCS)Université du Québec en Abitibi-Témiscamingue (UQAT)Val-dOrCanada

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