Data Collection Energy Efficient Routing Protocol for Energy Harvested Based Wireless Sensor Network

Abstract

Wireless sensor networks have become the preferred solution in many applications. The main restriction in using wireless sensor nodes is that the power source of the sensor nodes is limited, as these sensors usually rely on a battery. Typically, a wireless sensor network (WSN) deploys a large number of sensors. When the sensors’ batteries run out, they need to be replaced. The replacement process is a costly process which necessarily increases as the WSN increases in size. Using an ambient source to power a wireless sensor network is a promising solution. There are a variety of renewable ambient energy sources available, such as vibration, temperature, solar power, and pressure, etc. An ambient resource is an intermittent energy source. Usually, a sensor uses a super capacitor to store harvested energy from ambient sources. In this thesis, a Data Collection Energy-Efficient Routing Protocol with Harvested Energy is proposed. The node’s energy, energy harvesting rate, packet data rate and node capability are considered in the DEECP protocol to choose the best path. Moreover, a handover local route repair mechanism is integrated in the DEECP protocol. Extensive simulation experiments were conducted using NS-3 to study the behavior of DEECP. We have compared DEECP with AODV and IEEE 802.11s at proactive mode using different performance metrics. The DEECP protocol has shown an outstanding perform in term of increasing the flow application throughput by 1148%,decreasing the packet loss ratio by 80%, and decreasing the packet end-to-end delay by 65% with respect to AODV. In addition, DEECP outperform IEEE 802.11s at proactive mode in term of increasing the flow application throughput by 284%, decreasing the packet loss ratio by 16%, and decreasing the packet end-to-end delay by 75%.