LOGO: A New Distributed Leader Election Algorithm in WSNs with Low Energy Consumption - Université de Bretagne Occidentale
Conference Papers Year : 2017

LOGO: A New Distributed Leader Election Algorithm in WSNs with Low Energy Consumption

Abstract

The Leader Election Algorithm is used to select a specific node in distributed systems. In the case of Wireless Sensor Networks, this node can be the one having the maximum energy, the one situated on the extreme left in a given area or the one having the maximum identifier. A node situated on the extreme left, for instance, can be used to find the boundary nodes of a network embedded in the plane. The classical algorithm allowing to find such a node is called the Minimum Finding Algorithm. In this algorithm, each node sends its value in a broadcast mode each time a better value is received. This process is very energy consuming and not reliable since may be subject to an important number of collisions and lost messages. In this paper, we propose a new algorithm called LOGO (Local Optima to Global Optimum) where some local leaders will send a message to a given node, which will designate the global leader. This process is more reliable since broadcast messages are sent only twice by each node, and the other communications are based on a direct sending. The obtained results show that the proposed algorithm reduces the energy consumption with rates that can exceed 95% compared with the classical Minimum Finding Algorithm.
Fichier principal
Vignette du fichier
icfitt_2017_bounceur.pdf (2.46 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01545331 , version 1 (22-06-2017)

Licence

Copyright

Identifiers

  • HAL Id : hal-01545331 , version 1

Cite

Ahcène Bounceur, Madani Bezoui, Umber Noreen, Reinhardt Euler, Farid Lalem, et al.. LOGO: A New Distributed Leader Election Algorithm in WSNs with Low Energy Consumption. ICFITT EAI International Conference on Future Internet Technologies and Trends, Aug 2017, Surat, India. ⟨hal-01545331⟩
325 View
363 Download

Share

More