Energy Consumption Optimization in Internet of Things Applications: Concept and Techniques

Abstract

The embodiment of electronics such as sensors and actuators in the physical appliances surrounding us, enabling these devices to be uniquely identifiable, making them capable of communicating with each other, taking required actions in response to events and making the gathered data globally available, using wireless communication technologies is Internet of Things – abbreviated as IoT. With Internet of Things applications finding applicability in a wide range of domains including healthcare, industries, agriculture and environment, automobile and others, there is a need of addressing the issues and challenges faced with IoT applications. These challenges include: node identification and node addressing, energy consumption optimization of IoT nodes, security in IoT applications, device heterogeneity, and data management in general; the issue addressed in this paper is energy consumption optimization. Studies suggest that the highest amount of energy consumption by a node is caused due to the computational overhead and the communication overhead imposed upon the node. Presenting the challenge of Energy Consumption Optimization in IoT Applications in detail, we shed some light on the solutions to this issue in the form of Techniques such as Cloud and IoT Integration, Updation in the Routing Protocol, Communication protocol Optimizations, Data Compression, Data Fusion and others . The paper also inculcates the future research prospective for energy consumption optimization in the IoT applications.

Keywords: Internet of Things, Energy Optimization, Cloud and IoT Integration, Data Fusion, Data Caching, Data Compression, Network Architecture and Transmission in IoT Deployments, Routing Protocols in WSN