Energy Optimization Hmlc Scheme for Wireless Communication in Sensor Networks

Wireless sensor network (WSN) consists of sensors for measuring and gathering data in a variety of environments. These sensors, with the size and battery constraints, usually have limited transmission ranges due to the low-power wireless radio transceivers. In a sensor network, sensed data should be collected at a centralized location, called sink, for processing and analysis. With limited transmission distances, sensed data may require multiple relays to reach the sink. In this research, we proposed hybrid multi-level clustering (HMLC) scheme for optimizing power in wireless sensor network.. The goal is to create an energy-efficient and effective routing scheme for the wireless networks. Cluster creation in this research is different from the well-known Low-Energy Adaptive Clustering Hierarchy (LEACH) design. Cluster-heads in our proposed design form a tree with a goal to reach all sensor nodes in a network. Subsequently, all sensed data in the tree can be delivered to the sink while LEACH cannot offer this guarantee. Energy savings may be improved with different numbers of levels in the hierarchical clustering architecture. To validate the proposed design, thorough simulations have been carried out. Our proposed HMLC scheme comparing to a multi-hop LEACH protocol, our proposed scheme design offers consistent wider coverage area and longer life span of a wireless Sensor network.