Multi-objective Optimization Modeling for the Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Health Sensors

Mohammad Mahmoud Mohammad Hamdan; Muneer Bani-Yaseen; Hisham A. Shehadeh

doi:10.1007/978-981-10-1741-4_21

Multi-objective Optimization Modeling for the Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Health Sensors

Mohammad Mahmoud Mohammad Hamdan, Muneer Bani-Yaseen, Hisham A. Shehadeh

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

9 Citations (Scopus)

Abstract

Health monitoring system is an important application since the last decade. A Health monitoring system comprises of different health sensors such as wearable sensor, ECG sensor, pillow sensor and bed sensor. All of these sensors operate on the license-free 2.4-GHz industrial, scientific, and medical band (ISM). Thus probably the issue of interference by other devices is high especially the ones that use this band like microwave oven and Wi-Fi. Here, we try to provide a mathematical multiobjective model to help understand the issues and impacts of 2.4-GHz ISM band interference on IEEE 802.15.4 health sensors. Our composite model maximizes network throughput and energy efficiency. We used three evolutionary algorithms: SPEA-II, NSGA-II and OMOPSO for the experimental evaluation of our study. The findings are interesting as interference varies according to topology and distance.

Original language	English
Title of host publication	Information Innovation Technology in Smart Cities
Editors	Leila Ismail, Liren Zhang
Publisher	Springer
Pages	317-330
Number of pages	14
ISBN (Electronic)	9789811017414
ISBN (Print)	9789811017407
DOIs	https://doi.org/10.1007/978-981-10-1741-4_21
Publication status	Published - 2018

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10.1007/978-981-10-1741-4_21

Cite this

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abstract = "Health monitoring system is an important application since the last decade. A Health monitoring system comprises of different health sensors such as wearable sensor, ECG sensor, pillow sensor and bed sensor. All of these sensors operate on the license-free 2.4-GHz industrial, scientific, and medical band (ISM). Thus probably the issue of interference by other devices is high especially the ones that use this band like microwave oven and Wi-Fi. Here, we try to provide a mathematical multiobjective model to help understand the issues and impacts of 2.4-GHz ISM band interference on IEEE 802.15.4 health sensors. Our composite model maximizes network throughput and energy efficiency. We used three evolutionary algorithms: SPEA-II, NSGA-II and OMOPSO for the experimental evaluation of our study. The findings are interesting as interference varies according to topology and distance.",

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Multi-objective Optimization Modeling for the Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Health Sensors. / Hamdan, Mohammad Mahmoud Mohammad; Bani-Yaseen, Muneer; Shehadeh, Hisham A.
Information Innovation Technology in Smart Cities. ed. / Leila Ismail; Liren Zhang. Springer, 2018. p. 317-330.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Multi-objective Optimization Modeling for the Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Health Sensors

AU - Hamdan, Mohammad Mahmoud Mohammad

AU - Bani-Yaseen, Muneer

AU - Shehadeh, Hisham A.

PY - 2018

Y1 - 2018

N2 - Health monitoring system is an important application since the last decade. A Health monitoring system comprises of different health sensors such as wearable sensor, ECG sensor, pillow sensor and bed sensor. All of these sensors operate on the license-free 2.4-GHz industrial, scientific, and medical band (ISM). Thus probably the issue of interference by other devices is high especially the ones that use this band like microwave oven and Wi-Fi. Here, we try to provide a mathematical multiobjective model to help understand the issues and impacts of 2.4-GHz ISM band interference on IEEE 802.15.4 health sensors. Our composite model maximizes network throughput and energy efficiency. We used three evolutionary algorithms: SPEA-II, NSGA-II and OMOPSO for the experimental evaluation of our study. The findings are interesting as interference varies according to topology and distance.

AB - Health monitoring system is an important application since the last decade. A Health monitoring system comprises of different health sensors such as wearable sensor, ECG sensor, pillow sensor and bed sensor. All of these sensors operate on the license-free 2.4-GHz industrial, scientific, and medical band (ISM). Thus probably the issue of interference by other devices is high especially the ones that use this band like microwave oven and Wi-Fi. Here, we try to provide a mathematical multiobjective model to help understand the issues and impacts of 2.4-GHz ISM band interference on IEEE 802.15.4 health sensors. Our composite model maximizes network throughput and energy efficiency. We used three evolutionary algorithms: SPEA-II, NSGA-II and OMOPSO for the experimental evaluation of our study. The findings are interesting as interference varies according to topology and distance.

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BT - Information Innovation Technology in Smart Cities

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Multi-objective Optimization Modeling for the Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Health Sensors

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