Energy efficient cluster head scheduling for tiered wireless sensor network

Abstract: Wireless Sensor Network (WSN) has a significant contribution in the field of emerging. Load balancing and optimization of network resources are crucial areas for network longevity. Since clustering is the significant method to enhance system scalability and energy efficiency. In this paper, a multitiered clustering (MTC) technique is introduced. In this technique, the network is subdivided into a number of tiers based on the area of the sensing field. The proposed MTC supports for tiered WSN architecture and selects cluster heads and gateway nodes using Received Signal Strength Indication (RSSI) and residual energy level of the sensor nodes for each tier. The experimental results show that the proposed MTC yields better performance than the existing LEACH, LEACH-C, HEED and DCHS Protocols in terms of energy consumption.

Keywords: Energy efficiency; wireless sensor network; cluster head selection; RSSI