A Novel Aggregation Approach Based on Cooperative Agents and Self-Stabilizing Clustering for WSNs

Olivier Flauzac (1) , Rafik Makhloufi (2) , Leila Merghem-Boulahia (3) , Florent Nolot (1) , Ibrahima Niang (4)

1 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
2 CERMICS - Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique
3 ERA - Environnement de Réseaux Autonomes
4 LID - Laboratoire d'Informatique de Dakar

In this paper, we present novel ideas for an intelligent aggregation approach based on cooperative agents and a self-stabilizing clustering scheme for Wireless Sensor Networks (WSNs). This aggregation solution aims at optimizing communications by combining an efficient self-stabilizing clustering approach and an intelligent cooperative aggregation process. On the one hand, the clustering approach reorganizes the network nodes into groups of nodes (i.e., clusters) so that it minimizes communications between nodes, their cluster-head and the Sink. On the other hand, the aggregation approach reduces communications by merging and sending only pertinent information to the Sink, in a distributed way.

Domaines: Réseaux et télécommunications [cs.NI]

Olivier Flauzac, Rafik Makhloufi, Leila Merghem-Boulahia, Florent Nolot, Ibrahima Niang. A Novel Aggregation Approach Based on Cooperative Agents and Self-Stabilizing Clustering for WSNs. CTRQ 2014, The Seventh International Conference on Communication Theory, Reliability, and Quality of Service, Feb 2014, Nice, France. ⟨hal-02271845⟩