Abstract
The use of wireless sensor technology in various Internet of Things (IoT) applications is growing rapidly. With the exponential increase of smart devices and their applications, collecting and analyzing data is gradually becoming one of the most difficult tasks. As sensor nodes are powered by batteries, energy efficiency is essential. To that intention, before passing the final data to the central station, a sensor node should reduce redundancies in the received data from neighbor nodes. There will be some redundancy in the data because different sensor nodes typically notice the same phenomenon. Data aggregation is one of the most important approaches for eliminating data redundancy and improving energy efficiency, as well as extending the life time of wireless sensor networks. Furthermore, the effective data aggregation technique might help to reduce network traffic. In this paper we have proposed cluster based data aggregation using intelligent agents. The performance of the proposed scheme is compared with Centralized Data Aggregation (CDA) mechanism in IoT.
Highlights
The Internet of Things is the latest trend in the information technology industry, following the emergence of the Internet and mobile communication
Using various types of sensors and actuators connected to the Internet via various access networks such as Wireless Sensor Network (WSN) and Wireless Mesh Network (WMN), billions of things can be found in the Internet of Things
Node Mobile Agent (NMA): On getting invoked by the Node Static Agent (NSA), the NMA carry the sensed data to the respective Cluster Heads (CH) in the network
Summary
The Internet of Things is the latest trend in the information technology industry, following the emergence of the Internet and mobile communication. WSN plays an active role in the integration of surrounding data in the Internet of Things It consists of a large number of small devices that are deployed in a sensing region of particular interest in order to collect necessary information from the environment and to take action using an actuator. The volume of data collected in large sensor networks is sometimes too much for the sink node to handle. In terms of power consumption, bandwidth usage, load balancing, network longevity, and data accuracy, this form of data aggregation has been proven to be beneficial. It includes aggregating data from several sensor nodes and sending it to the sink node via intermediate nodes.
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