Authors : Adil Hilmani, Abderrahim Maizate and Larbi Hassouni
Abstract: Nowadays, Wireless Sensor Networks (WSN) play a crucial role in various fields such as the army, health, the environment and so on. Emerging technologies such as the internet of things, smart applications and smart grids stimulate the deployment of autonomous, self-configuring, large-scale Wireless Sensor Networks (WSNs). These sensors which are small nodes, collect data in a wellfield and transfer it to a new sink where all data waiting to be exploited by applications (web, mobiles, …,) are stored. These new sensors have limitations which must be taken into consideration when deploying a WSN network, especially their strictly limited energy. Thus, in order to efficiently use the energy of these nodes to improve and increase the lifetime of the entire network and reduce the energy consumed during data transmission and processing, several self-organization algorithms have been proposed to create different network architectures based on required applications. In this research, we will study and examine the various WSN-based self-organization algorithms, highlighting their principles in order to compare them according to different metrics and on multiple requirements such as load balancing, energy efficiency, complexity of the algorithm, …, etc. To perform this multi-criteria comparison, we will use the ROC (Rank Order Centroid) multicriteria analysis method to make the decision when designing and implementing a new efficient and effective self-organization algorithm that will meet all metrics and to all criteria in order to create a performant and sustainable WSN network.
Adil Hilmani, Abderrahim Maizate and Larbi Hassouni, 2018. Multi-Criteria Analysis and Advanced Comparative Study of Self-Organization Protocols in Wireless Sensor Network. Journal of Engineering and Applied Sciences, 13: 5168-5180.