Optimal design of infrared motion sensing system using divide-and-conquer based genetic algorithm

Guo, Feng; Yang, Yukun; Guo, Xuemei; Wang, Guoli

doi:10.1109/icma.2013.6617965

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…Sensor Nodes: Decagon 5TE Soil sensor [5] is available for getting the soil data. The high sensitivity capacitive humidity sensor is developed by Micro-Electro-Mechanical Systems (MEMS) technology [9] and also by Infrared based motion sensing system [10]. 2.…”

Section: Proposed Modelmentioning

confidence: 99%

Growing Trends in Indian Farming using Internet of Things (IoT)

Mohana,

Deepthi,

Jacob.

2019

IJEAT

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India is a land of different weather conditions and versatile soils. Every year Indian farmers are facing problem of sudden rain in their areas without any correct weather forecast which leads to damage of the already grown crops. The second major problem pertaining to Indian farmers is the lack of sufficient knowledge about their soil. The soil forecasting of how the soil structure is changing day by day due to different weather condition and other external factors, and which crop will be optimally suited to be grown in such soil are some of the problems common to the farmers. This paper makes an attempt to assess and propose model solution along with developing a prototype of device using IoT for use by farmers in Indian agriculture practice. The solution proposed will have a centralized data server to analyze the data and report to the farmer the precautionary steps to be taken in advance for safety of the crops. The solution proposed have eco-friendly energy management through solar plant and wind energy which makes IoT device more portable and low cost, along with making it implementable in Indian rural sectors..

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Section: Proposed Modelmentioning

confidence: 99%

Growing Trends in Indian Farming using Internet of Things (IoT)

Mohana,

Deepthi,

Jacob.

2019

IJEAT

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“…Feng. et al [4] study the optimal design of an infrared motion sensing system for human motion localization in the context of human-following robots. In particular, they aim to find the optimal number and placement of Passive InfraRed (PIR) sensors in order to improve the localization performance.…”

Section: Related Workmentioning

confidence: 99%

“…In particular, they aim to find the optimal number and placement of Passive InfraRed (PIR) sensors in order to improve the localization performance. To this purpose, a multi-objective, mixed-integer-discretecontinuous optimization problem is presented and solved by using a divide and conquer based Genetic Algorithm method [4]. Moreover, Bishop et al [5] aim to identify the optimal geometries for an arbitrary number of sensors and they show the influence of the sensor-target geometry on the potential localization performance by using analytical results and illustrative examples.…”

Section: Related Workmentioning

confidence: 99%

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Motion detector placement optimization in smart homes for inhabitant location tracking

Fanti

Roccotelli

Lesage

et al. 2016

2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)

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The aim of the paper is to provide an optimal placement of sensors for inhabitant location tracking in smart homes, by using only motion detectors. In particular, motion detectors are binary sensors largely used in ambient assisted living applications because they are low cost, non-intrusive and privacy sensors. An approach to optimize the placement of motion detectors in a real home environment by adopting a twodimensional grid is presented. In this context, the real coverage area of a sensor is computed by considering the obstacles and respecting the specified coverage performance requirements. The optimization problem is formalized and solved as an Integer Linear Programming (ILP) problem and a case study is presented to show the efficacy of the proposed approach.

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“…For instance, the knowledge of the real-time location of inhabitants is helpful for the detection of health problems or to improve the environment comfort [2], [3]. For these purposes, it is relevant to optimize the number and placement of sensors in smart homes in order to improve the location tracking performance [6]- [13] as well as minimizing the cost of instrumentation.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Framework for Binary Sensor Placement and Inhabitants Location Tracking

Fanti

Faraut

Lesage

et al. 2018

IEEE Trans. Syst. Man Cybern, Syst.

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International audienceThis correspondence paper deals with the sensor placement optimization problem in the context of indoor multiple inhabitants location tracking to solve ambient assisted living problems. Binary sensors, like passive infrared (PIR) sensors, are used to guaranty specific coverage requirements and allow privacy respecting. Moreover, within real home environments, different kinds of obstacles (like walls, high furniture , etc.) can affect the detection capacity of PIR sensors. This paper proposes an integrated framework devoted to optimize the placement of sensors and PIR sensors in smart homes by taking into account physical topologies and coverage precision constraints. An integer linear programming problem is formalized and a case study illustrates the applicability of the proposed approach and the scalability of the optimization method. Index Terms—Ambient assisted living (AAL), binary sensors, integer linear programming (ILP), smart home

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Optimal design of infrared motion sensing system using divide-and-conquer based genetic algorithm

Cited by 7 publications

References 15 publications

Growing Trends in Indian Farming using Internet of Things (IoT)

Growing Trends in Indian Farming using Internet of Things (IoT)

Motion detector placement optimization in smart homes for inhabitant location tracking

An Integrated Framework for Binary Sensor Placement and Inhabitants Location Tracking

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