An Optimized Algorithm for Addressing Optimality issues in Sink mobility Management

Abstract

Wireless Sensor networks has developed an integral share of the Internet of Things (IoT) era thereby focusing on various applications like Intelligent transport system (ITS), home automation, agriculture, autonomous driving.  Sensor nodes have limited battery power therefore the entire process of communication between nodes and sink develops a big challenge in footings of energy efficiency and system life time. Nodes existing near to the static sink are always seems to be busy in data transmission. In doing so, the nearby node exhaust its energy much before than the nodes existing away from the sink. Sink mobility serves as the way out for the above mentioned challenge. RPL is designed for energy constrained wireless networks can easily manage the mobility of nodes. Planned work includes estimating performance of RPL protocol with static & movable sink node. CoojaSimulator1.0 is used for simulation. Average E2E interval, Packet Transport, Average Throughput, and Spent Energy metrics are considered for evaluation. Simulation outcomes show that movable sink increases the overall system performance.