Models and algorithms for energy conservation in internet of things

Abstract

The growth of data and energy-hungry services is due to the increase of Internet of Things (IoT) devices connecting the world. For accessing these devices, the information has to be stored in one place and allowed to retrieve by the users whenever required. For the storage of data, IoT devices are relying on cloud infrastructure by transforming them into distributed one based on the facilities provided by the Internet Service Providers. Due to the large-scale applications, dependency of the services stored on the cloud making the IoT work more efficiently and flexibly. But the Data centers where the IoT data is stored is consuming more energy. The shortage of energy around the world made the researchers to think about energy-efficient data centers. There are plenty of Wireless sensor networks techniques are available, cannot be applied directly to the IoT data centers. The development of energy-efficient schemes becomes a challenging issue in the area of IoT Data Centers. In this chapter, we introduce Big data and how it is related to IoT and the migration of the data to the servers, load balancing among the servers, virtualization, green Computing describing the importance of energy conservation along with the recent analysis of the energy consumption. The various challenges and development of new algorithms by overcoming the limitations of the algorithms will be discussed as part of this chapter. As a conclusion, the future challenges for the energy conservation in IoT will be discussed. © Springer Nature Singapore Pte Ltd. 2019.