Internet of Things Scalability: Communications and Data Management

Laith Farhan, Rupak Kharel

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 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 chapter introduces a novel scheduling algorithm called Long Hop (LH) first to optimize energy usage on a wireless sensor network (WSN) that enables IoT systems. The selected algorithm proposes an optimized solution to the energy efficient for scalable IoT networks. LH technique assigns high priority for packets coming with more hops and longer distances to be served first at the cluster head (CH) nodes. Since these packets require more links and nodes (thus increased energy and bandwidth usage) to reach the ultimate destination if not prioritized. The proposed technique reduces the overall energy usage and minimizes the total number of packets re-transmission and the effective data transmission distances. Thus, this improves the overall system performance and elongates the network lifetime.

Original languageEnglish
Title of host publicationModern Sensing Technologies
EditorsSubhas Chandra Mukhopadhyay, Krishanthi P. Jayasundera, Octavian Adrian Postolache
PublisherSpringer, Cham
Pages311-329
Number of pages19
VolumeSSMI 29
Edition1st
ISBN (Electronic)9783319995403
ISBN (Print)9783319995397, 9783030076078
DOIs
Publication statusPublished - 6 Sep 2019
Externally publishedYes

Publication series

NameSmart Sensors, Measurement and Instrumentation
PublisherSpringer Cham
VolumeSSMI 29
ISSN (Print)2194-8402
ISSN (Electronic)2194-8410

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