Volume 11, Number 6

Multi-cluster Multi-channel Scheduling (MMS) Algorithm for Maximum Data Collection with Delay Minimization in WSN


A. Vijayalakshmi1 and P. Vanaja Ranjan2, 1Vels Institute of Science, Technology and Advanced Studies (VISTAS), India and 2College of Engineering Anna University, India


Interference during data transmission can cause performance degradation like packet collisions in Wireless Sensor Networks (WSNs). While multi-channels available in IEEE 802.15.4 protocol standard WSN technology can be exploited to reduce interference, allocating channel and channel switching algorithms can have a major impact on the performance of multi-channel communication. This paper presents an improved Fuzzy Logic based Cluster Formation and Cluster Head (CH) Selection algorithm with enhanced network lifetime for multi-cluster topology. The Multi-Cluster Multi-Channel Scheduling (MMS) algorithm proposed in this paper improves the data collection by minimizing the maximum interference and collision. The presented work has developed Cluster formation and cluster head (CH) selection algorithm and Interference-free data communication by proper channel scheduled. The extensive simulation and experimental outcomes prove that the proposed algorithm not only provides an interference-free transmission but also provides delay minimization and longevity of the network lifetime, which makes the presented algorithm suitable for energy-constrained wireless sensor networks.


Wireless Sensor Networks, Fuzzy Logic, Cluster Formation, Cluster Head, Channel Assignment, Channel Switching, Delay Minimization, Network Lifetime.