Data Fusion and the Impact of Group Mobility on Load Distribution on MRHOF and OF0

Abstract

Many routing algorithms proposed for IoT are based on modifications on RPL objective functions and trickle algorithms. However, there is a lack of an in-depth study to examine the impact of mobility on routing protocols based on MRHOF and OF0 algorithms. This paper examines the impact of group mobility on these algorithms, also examines their ability in distributing the load and the impact of varying traffic with the aid of simulations using the well-known Cooja simulator. The two algorithms exhibit similar performance for various metrics for low traffic rates and low mobility speed. However, when the traffic rate becomes relatively high, OF0 performance merits appear, in terms of throughput, packet load deviation, power deviation, and CPU power deviation. The mobility with higher speeds helps MRHOF to enhance its throughput and load deviation. The mobility allowed MRHOF to demonstrate better packets load deviation.

A multi path routing protocol with efficient energy consumption in IoT applications real time traffic

“…Extensive research has been conducted to create a multipath routing version for RPL with the aim of addressing issues associated with LLNs, including stability, congestion avoidance, load balancing, and quality of service (QoS) enhancement. The authors in [5] introduced M-RPL, an extension of RPL designed to address congestion. M-RPL identifies congestion on a certain routing path primarily by analyzing the buffer size and packet delivery rate at the relaying nodes.…”