Multi-Faceted Clustering with Enhanced Multi-channel Allocation for Optimal Path Selection in Wireless Sensor Networks

In today’s modern era, heterogeneous wireless sensor networks (HWSN) have a wide range of applications, notably in monitoring and detection of events without user intervention. Sensor nodes in close vicinity to base station experience a severe barrier leading to congestion and packet loss in dense network. Achieving high throughput and packet delivery ratio is an important criterion for researchers. Various protocols in HWSN applies multi-channel communication and multi-radio approach. In this paper, we propose a Hybrid diffusion Clustering Scheme for CH selection and Jellyfish routing based on Enhanced Multi-Channel Allocation (EMCA) for efficient path selection. Enhanced multi-channel allocation uses both Time division multiple access (TDMA) and Frequency division multiple access (FDMA) and dual radio compared to existing state- of- art techniques, the proposed approach assures less energy consumption, delay in complex network.