Data dissemination framework for IoT based applications

Abstract

Objective: There is a need for a distributed data storage mechanism to reduce the probability of data loss and cope with node failure as well. The increase in amount of data generated in the wireless sensor network necessitates an innetwork data aggregation protocol that creates summaries of data as information is disseminated in the network. Methods: An effervescent aggregation technique has been formulated that makes use of the existing data redundancy in the dissemination-based network and combines it with consistency checks to filter false aggregate information. A greedy approach is formulated to keep the copies of the data in the nearby neighbour who has greater capacity. Findings: Architecture designed for in-network aggregation helps in dealing with a large amount of data by eliminating redundant information and at the same time distributes the aggregate information in the nearby node since dissemination deals with memory shortage and node failure. Applications: The benefits of the system include that the redundant copies are maintained in some other nodes which has higher memory and power this may, in turn, increase the reliability of the data in nodes of sensor networks and the availability is ensured during the communication with sinks.