LEATCH-L: Low Energy Adaptive Tier Clustering Hierarchy for Large scale WSNs (2018)

Conference Paper

2018

In recent years, clustering has emerged as a promising approach to facilitate the data routing and data aggregation in Wireless Sensor Network (WSN).Although clustering routing approaches stand well in small-scale networks, they do not fit large scale WSNs as it is the case in LEACH [1]. Indeed, clustering suffers from the adverse effects of the isolated nodes in the network and some other coverage problems. To deal with these issues, we develop LEATCH-L, a Low Energy Adaptive Tier Clustering Hierarchy for Large scale WSNs. The proposed approach makes the major functions of LEACH applicable to largescale WSNs whose dimension is much larger than the largest transmission radius of the sensor nodes. The latter imposes a dynamic decomposable structure on the network topology which results in a set of smaller subnetworks. Such decompositions are implemented through a smart m-level hierarchical clustering process. Moreover, the proposed approach involves a two level of data aggregation. Evaluation results show that the introduced approach is scalable, and its performance is significantly better than the state-of-the art approaches.

• Conference Location: Madrid. Spain
• Conference Name: 22nd International Symposium on Distributed Simulation and Real Time Applications IEEE/ACM'18
• Sponsoring Organization: IEEE/ACM