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

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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 languageEnglish
Title of host publicationInformation Innovation Technology in Smart Cities
EditorsLeila Ismail, Liren Zhang
PublisherSpringer International Publishing
Pages317-330
Number of pages14
ISBN (Electronic)9789811017414
ISBN (Print)9789811017407
DOIs
Publication statusPublished - 2018

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    Hamdan, M. M. M., Bani-Yaseen, M., & Shehadeh, H. A. (2018). Multi-objective Optimization Modeling for the Impacts of 2.4-GHz ISM Band Interference on IEEE 802.15.4 Health Sensors. In L. Ismail, & L. Zhang (Eds.), Information Innovation Technology in Smart Cities (pp. 317-330). Springer International Publishing. https://doi.org/10.1007/978-981-10-1741-4_21