# N-queens-based algorithm for moving object detection in distributed wireless sensor networks

Source: [N-queens-based algorithm for moving object detection in distributed wireless sensor networks](<https://www.sota2.com/research/paper/68fa629f1e209131ce9fa4e3>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T20:23:26.300Z

Authors: Biljana Stojkoska, Danco Davcev, Vladimir Trajkovik

Published: 2016-06-24T07:18:42.000Z

## Abstract

The main constraint of wireless sensor networks (WSN) in enabling wireless image communication is the high energy requirement, which may exceed even the future capabilities of battery technologies. In this paper we have shown that this bottleneck can be overcome by developing local in-network image processing algorithm that offers optimal energy consumption. Our algorithm is very suitable for intruder detection applications. Each node is responsible for processing the image captured by the video sensor, which consists of NxN blocks. If an intruder is detected in the monitoring region, the node will transmit the image for further processing. Otherwise, the node takes no action. Results provided from our experiments show that our algorithm is better than the traditional moving object detection techniques by a factor of (N/2) in terms of energy savings.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1606.07583>)

[PDF](<https://arxiv.org/pdf/1606.07583.pdf>)