An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks

Laith Farhan; Ali E. Alissa; Sinan T. Shukur; Mohammad Hammoudeh; Rupak Kharel

doi:10.1109/ICSensT.2017.8304511

An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks

Laith Farhan, Ali E. Alissa, Sinan T. Shukur, Mohammad Hammoudeh, Rupak Kharel

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

17 Citations (Scopus)

Abstract

Internet of Things (IoT) is becoming more and more pervasive in everyday life and connecting an array of diverse physical objects. It is fast growing and receiving a tremendous amount of research focus. Billions of objects communicate each other with or without human intervention to achieve smart applications. Most of the connected devices are constrained nodes to its ecosystem which have limited memories, CPU capabilities and power sources. Therefore, for implementing autonomous smart systems, efficient energy consumption is imperative. This paper introduces a novel scheduling algorithm called Long Hop (LH) first to optimize energy usage on a Wireless Sensor Network (WSN) that enables IoT system. LH algorithm schedules high priority for packets coming with more hops and longer distances to be served first at the cluster head (CH) nodes of the WSN. Since these packets require more links and nodes (thus increased energy and bandwidth usage) to reach the ultimate destination if not prioritized, the proposed algorithm reduces the overall energy usage and minimizes the total number of packets re-transmission and the effective data transmission distances. This improves the overall system performance and elongates the network lifetime.

Original language	English
Title of host publication	2017 11th International Conference on Sensing Technology, ICST 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
Volume	2017-December
ISBN (Electronic)	9781509065264
ISBN (Print)	9781509065271
DOIs	https://doi.org/10.1109/ICSensT.2017.8304511
Publication status	Published - 2017
Event	11th International Conference on Sensing Technology, ICST 2017 - Sydney, Australia Duration: 4 Dec 2017 → 6 Dec 2017

Conference

Conference	11th International Conference on Sensing Technology, ICST 2017
Country/Territory	Australia
City	Sydney
Period	4/12/17 → 6/12/17

Keywords

Energy Efficient
Internet of Things (IoT)
Long Hop First (LH) Algorithm
Scheduling algorithms
Wireless Sensor Network (WSN)

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10.1109/ICSensT.2017.8304511

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Farhan, L., Alissa, A. E., Shukur, S. T., Hammoudeh, M., & Kharel, R. (2017). An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks. In 2017 11th International Conference on Sensing Technology, ICST 2017 (Vol. 2017-December, pp. 1-6). Article 8304511 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSensT.2017.8304511

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title = "An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks",

abstract = "Internet of Things (IoT) is becoming more and more pervasive in everyday life and connecting an array of diverse physical objects. It is fast growing and receiving a tremendous amount of research focus. Billions of objects communicate each other with or without human intervention to achieve smart applications. Most of the connected devices are constrained nodes to its ecosystem which have limited memories, CPU capabilities and power sources. Therefore, for implementing autonomous smart systems, efficient energy consumption is imperative. This paper introduces a novel scheduling algorithm called Long Hop (LH) first to optimize energy usage on a Wireless Sensor Network (WSN) that enables IoT system. LH algorithm schedules high priority for packets coming with more hops and longer distances to be served first at the cluster head (CH) nodes of the WSN. Since these packets require more links and nodes (thus increased energy and bandwidth usage) to reach the ultimate destination if not prioritized, the proposed algorithm reduces the overall energy usage and minimizes the total number of packets re-transmission and the effective data transmission distances. This improves the overall system performance and elongates the network lifetime.",

keywords = "Energy Efficient, Internet of Things (IoT), Long Hop First (LH) Algorithm, Scheduling algorithms, Wireless Sensor Network (WSN)",

author = "Laith Farhan and Alissa, {Ali E.} and Shukur, {Sinan T.} and Mohammad Hammoudeh and Rupak Kharel",

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note = "11th International Conference on Sensing Technology, ICST 2017 ; Conference date: 04-12-2017 Through 06-12-2017",

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Farhan, L, Alissa, AE, Shukur, ST, Hammoudeh, M & Kharel, R 2017, An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks. in 2017 11th International Conference on Sensing Technology, ICST 2017. vol. 2017-December, 8304511, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-6, 11th International Conference on Sensing Technology, ICST 2017, Sydney, Australia, 4/12/17. https://doi.org/10.1109/ICSensT.2017.8304511

An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks. / Farhan, Laith; Alissa, Ali E.; Shukur, Sinan T. et al.
2017 11th International Conference on Sensing Technology, ICST 2017. Vol. 2017-December Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1-6 8304511.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Shukur, Sinan T.

AU - Hammoudeh, Mohammad

AU - Kharel, Rupak

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N2 - Internet of Things (IoT) is becoming more and more pervasive in everyday life and connecting an array of diverse physical objects. It is fast growing and receiving a tremendous amount of research focus. Billions of objects communicate each other with or without human intervention to achieve smart applications. Most of the connected devices are constrained nodes to its ecosystem which have limited memories, CPU capabilities and power sources. Therefore, for implementing autonomous smart systems, efficient energy consumption is imperative. This paper introduces a novel scheduling algorithm called Long Hop (LH) first to optimize energy usage on a Wireless Sensor Network (WSN) that enables IoT system. LH algorithm schedules high priority for packets coming with more hops and longer distances to be served first at the cluster head (CH) nodes of the WSN. Since these packets require more links and nodes (thus increased energy and bandwidth usage) to reach the ultimate destination if not prioritized, the proposed algorithm reduces the overall energy usage and minimizes the total number of packets re-transmission and the effective data transmission distances. This improves the overall system performance and elongates the network lifetime.

AB - Internet of Things (IoT) is becoming more and more pervasive in everyday life and connecting an array of diverse physical objects. It is fast growing and receiving a tremendous amount of research focus. Billions of objects communicate each other with or without human intervention to achieve smart applications. Most of the connected devices are constrained nodes to its ecosystem which have limited memories, CPU capabilities and power sources. Therefore, for implementing autonomous smart systems, efficient energy consumption is imperative. This paper introduces a novel scheduling algorithm called Long Hop (LH) first to optimize energy usage on a Wireless Sensor Network (WSN) that enables IoT system. LH algorithm schedules high priority for packets coming with more hops and longer distances to be served first at the cluster head (CH) nodes of the WSN. Since these packets require more links and nodes (thus increased energy and bandwidth usage) to reach the ultimate destination if not prioritized, the proposed algorithm reduces the overall energy usage and minimizes the total number of packets re-transmission and the effective data transmission distances. This improves the overall system performance and elongates the network lifetime.

KW - Energy Efficient

KW - Internet of Things (IoT)

KW - Long Hop First (LH) Algorithm

KW - Scheduling algorithms

KW - Wireless Sensor Network (WSN)

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PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 11th International Conference on Sensing Technology, ICST 2017

Y2 - 4 December 2017 through 6 December 2017

ER -

An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks

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Keywords

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