Additively Composite Model Objective Function for Routing Protocol for Low-Power and Lossy Network Protocol

doi:10.23940/ijpe.24.05.p5.300311

Abstract

Abstract: The Internet of Things (IoT) networks always operate within the context of diverse and constrained characteristics of the devices. Low-Power and Lossy Networks (LLNs) constitute a network architecture commonly utilized in IoT application deployments, facilitating networking and the establishment of paths for data transmission. The Routing Protocol for Low-Power and Lossy Networks (RPL) demonstrates promising capabilities for LLN network operations, supporting IPv4 and IPv6-enabled services. The RPL protocol constructs a Destination Oriented Directed Acyclic Graph (DODAG) logical routing topology based on defined Objective Function (OF) metrics. Routing operations within the DODAG utilize these metrics and constraints to select parent nodes and calculate optimal routes between two nodes. Standardized OFs have traditionally focused on either parent node selection or routing objectives within the DODAG, often treating load balancing and bottleneck optimization separately. However, their combined impact on RPL's effectiveness has been overlooked. This paper introduces an Adaptively Composite Objective Function (AC-OF) approach that considers the combined objectives of DODAG load balancing and optimized routing operations. Through simulation evidence, the paper presents improved network parameters. The AC-OF implementation brings out significant results in the form of a balanced DODAG topology and it has good impacts on data transmission, control overhead messages, parent switching, delay, energy consumption, and node lifetime.

Key words: bottleneck routing, IoT, load balancing, metrics, objective function, RPL

Poorana Senthilkumar S, Wilfred Blessing N. R., Subramani B, and Rajesh Kanna R. Additively Composite Model Objective Function for Routing Protocol for Low-Power and Lossy Network Protocol [J]. Int J Performability Eng, 2024, 20(5): 300-311.

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