A Novel Framework for Intelligent Information Retrieval in Wireless Sensor Networks

TL;DR

This paper proposes an integrated framework for efficient information retrieval and dissemination in wireless sensor networks, addressing the unique needs of such networks for optimized data handling and targeted delivery.

Contribution

It introduces a novel framework combining data aggregation, information retrieval, and data dissemination tailored specifically for wireless sensor networks.

Findings

Reduces redundant data through aggregation

Filters data to extract intelligent information

Enhances targeted data delivery efficiency

Abstract

Recent advances in the development of the low-cost, power-efficient embedded devices, coupled with the rising need for support of new information processing paradigms such as smart spaces and military surveillance systems, have led to active research in large-scale, highly distributed sensor networks of small, wireless, low-power, unattended sensors and actuators. While applications keep diversifying, one common property they share is the need for an efficient network architecture tailored towards information retrieval in sensor networks. Previous solutions designed for traditional networks serve as good references; however, due to the vast differences between previous paradigms and needs of sensor networks, a framework is required to gather and impart only the required information .To achieve this goal in this paper we have proposed a framework for intelligent information retrieval and dissemination to desired destination node. The proposed frame work combines three major concern areas in WSNs i.e. data aggregation, information retrieval and data dissemination in a single scenario. In the proposed framework data aggregation is responsible for combining information from all nodes and removing the redundant data. Information retrieval filters the processed data to obtain final information termed as intelligent data to be disseminated to the required destination node.