EDVWDD: Event-Driven Virtual Wheel-based Data Dissemination for Mobile Sink-Enabled Wireless Sensor Networks

Autor:	Shubhra Jain, Kiran Kumar Pattanaik, Rahul Kumar Verma, Anupam Shukla
Rok vydání:	2021
Předmět:	business.industry Computer science Node (networking) Energy consumption Theoretical Computer Science Energy conservation Hardware and Architecture Sensor node Overhead (computing) Sink (computing) business Dissemination Wireless sensor network Software Information Systems Computer network
Zdroj:	The Journal of Supercomputing. 77:11432-11457
ISSN:	1573-0484 0920-8542
DOI:	10.1007/s11227-021-03714-7
Popis:	Despite the several advantages of mobile sink-enabled wireless sensor networks, the data dissemination to mobile sink is challenging for resource-constrained sensor nodes due to sink mobility. Sensor nodes need to be aware of current location of the mobile sink to successfully transmit their data. However, network-wide updation of mobile sink’s location would cause high communication overhead and undermine the energy conservation goal. In this paper, we propose an event-driven virtual wheel-based data dissemination (EDVWDD) scheme that constructs multiple wheels in the sensor field with the aim of reducing the cost of updating the mobile sink location. Furthermore, EDVWDD provides easy-accessibility of wheel to each sensor node in order to reduce the delay while transmitting the data to mobile sink. Simulation results reveal improved performance of EDVWDD in terms of energy consumption, and data delivery delay as compared to state-of-the-art mechanisms at varying node density and sink speed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::94ae1b484defb0a11ff003137fdd62d3 https://doi.org/10.1007/s11227-021-03714-7 Zobrazit plný text záznamu Plný text ve formátu PDF