Designated path routing algorithm for dense wireless sensor network

Abstract

Due to extensive pipeline dissemination in the oil and gas refinery, the nodes need to be placed in a grid formation. As such, since most oil and gas industry applications require continuous data gathering, a heavy data stream will be introduced in the network traffic, mainly when the network density is high. As a result, performance degradation and poor energy consumption will occur. Ad hoc on-demand distance vector and optimized link state routing protocol have been simulated to investigate these issues further. Due to packet congestion, the network experiences a domino effect on the performance, such as packet loss, throughput degradation, and poor energy consumption. Thus, a tailored solution is required since oil and gas industry relies heavily on sensor data to keep track of pipelines condition to prevent anomalous events from happening. The proposed algorithm has been developed to optimize the network performance by dividing the traffic into two and by reducing the flooding during route discovery. The results have shown better network performance and energy consumption can be achieved using the proposed algorithm when compared to the others.

Quad-Interleaving Routing Algorithm for Performance Enhancement of Oil and Gas Pipeline Network Monitoring

“…The delivery ratio is a parameter that represents the ratio of the number of packets received to the number of packets transmitted. The number of packets received will be calculated at the receiving node and the number of packets sent can be obtained from the transmitting node [27].…”

“…Where n i is the throughput for n number of flows and nn is the number of source nodes in the network [27], [29] .…”

“…Every data in a network requires energy to transmit. The energy used in sharing data can be calculated by computing the ratio between the total energy used by all nodes to the total packets received [27], [29] .…”