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 proceedingConference contributionpeer-review

15 Citations (Scopus)


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 languageEnglish
Title of host publication2017 11th International Conference on Sensing Technology
Subtitle of host publicationICST 2017
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9781509065264, 9781509065257
ISBN (Print)9781509065271
Publication statusPublished - 1 Mar 2018
Externally publishedYes
Event11th International Conference on Sensing Technology - Sydney, Australia
Duration: 4 Dec 20176 Dec 2017
Conference number: 11

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073


Conference11th International Conference on Sensing Technology
Abbreviated titleICST 2017

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