Lossy and low power networks describe the technology used for the Internet of Things (IoT). In order to efficiently manage and administer high quality of service objectives in such networks, a reliable routing protocol is required. The Objective Function has allowed the IPv6 Routing Protocol for Low Power and Lossy Network (RPL), which prioritizes the Internet of Things, to gain traction. The RPL core uses a single measure as its default Objective Function (OF). As a result, the routing protocol is unable to handle various restrictions and exhibits congestion problems with heavy traffic. For that, we proposed in our paper Enhanced Analytic Hierarchy Process Objective Function (EAHP-OF), which uses novel strategies to combine ETX, child count, queue size and work-metric in OF to calculate rank, for the best parent selection procedure. Using an adaptive threshold, the network stability was also considered because several limitations might result in frequent parent changes. The proposed work was simulated in NS-3 against AHCCP and CBMPLB, and the results were good in terms of Packet Loss Ratio (PLR), throughput, and the number of DIO packets.

Child Count, Expected Life Time (ETX), Internet of Things, Load Balancing, Objective Function, Queue size, Work Load.