A survey on indexing techniques for mobility in Internet of Things': Challenges, performances, and perspectives

Badarneh, Hazem Jihad and Ravana, Sri Devi and Mansoor, Ali Mohammed (2020) A survey on indexing techniques for mobility in Internet of Things': Challenges, performances, and perspectives. International Journal of Network Management, 30 (4). e2097. ISSN 1055-7148, DOI https://doi.org/10.1002/nem.2097.

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Official URL: https://doi.org/10.1002/nem.2097


Mobile nodes arouse new challenges that expand the performance in those environments. The nodes of Internet of Things (IoT) generate a large amount of data, which have to be stored and processed in a seamless and interpretable form by indexing. Therefore, indexing is a challenge in IoT, particularly when the nodes are mobile. The current indexing techniques dedicated to mobile environments are unsatisfying because the data are transmitted from different locations within different time periods and randomness of sensor movement. Although huge research efforts have been dedicated to this subject amid the last decades, little consideration has been paid for the research summarization and guidance. The objective of this survey is to identify the relationship between activities of mobile sensors in the context of IoT, that concerned on transferring and collecting data as well as the effectiveness of indexing techniques. The contribution of this review is to investigate the techniques of mobile IoT nodes, to find the source of challenges that adversely affect the index effectiveness. In-depth investigation and analyses of approaches to apply IoT mobile nodes will enable the researcher to understand the behavior of mobile environments to extract the deformities that adversely affect the indexing effectiveness. The analyzed approaches are meta-heuristic, spatial-temporal indexing, and prediction model approach. Each approach is analyzed by discussing the features and limitations from the mobility perspectives. Furthermore, the indexing techniques are analyzed according to their features and limitations and mobile IoT indexing requirements. In conclusion, recognize and contemplate different open issues that got little focus or still unknown at this point. © 2020 John Wiley & Sons, Ltd.

Item Type: Article
Funders: University of Malaya under the Grant IIRG001B-19SAH
Uncontrolled Keywords: Indexing techniques; Internet of Things (IOT); Investigation and analysis; Mobile environments; Mobile sensors; Prediction model; Research efforts; Spatial temporals
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 04 Oct 2021 03:43
Last Modified: 04 Oct 2021 03:43
URI: http://eprints.um.edu.my/id/eprint/26042

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