IEEE Transactions on Vehicular Technology, ( ISI ), Volume (64), No (7), Year (2015-7) , Pages (3177-3189)

Title : ( On Maximizing the Lifetime of Wireless Sensor Networks in Event-Driven Applications With Mobile Sinks )

Authors: farzad tashtarian , Mohammad Hossein Yaghmaee Moghaddam , Khosrow Sohraby , Sohrab Effati ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Recent studies have shown that utilizing a mobile sink (MS) to harvest and carry data from a wireless sensor network (WSN) can enhance network operations and increase the network lifetime. Since a significant portion of sensor nodes’energy is consumed for data transmission to an MS, the specific trajectory has a profound influence on the lifetime of a WSN. In this paper, we study the problem of controlling sink mobility in event-driven applications to achieve maximum network lifetime. In these applications, an MS with limited velocity has to harvest the captured data of events from a group of sensor nodes in a specific time as a reporting time slot. We show that this problem is NP-hard, and then, we propose a convex optimization model inspired by the support vector regression technique to determine an optimal trajectory of an MS without considering predefined structures such as a virtual grid or rendezvous points. The effectiveness of our approach is validated via the extensive number of simulation runs and comparison with other algorithms.

Keywords

, Event-driven application, mobile sink (MS), support vector regression (SVR), wireless sensor network
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1044019,
author = {Tashtarian, Farzad and Yaghmaee Moghaddam, Mohammad Hossein and Khosrow Sohraby and Effati, Sohrab},
title = {On Maximizing the Lifetime of Wireless Sensor Networks in Event-Driven Applications With Mobile Sinks},
journal = {IEEE Transactions on Vehicular Technology},
year = {2015},
volume = {64},
number = {7},
month = {July},
issn = {0018-9545},
pages = {3177--3189},
numpages = {12},
keywords = {Event-driven application; mobile sink (MS); support vector regression (SVR); wireless sensor network (WSN).},
}

[Download]

%0 Journal Article
%T On Maximizing the Lifetime of Wireless Sensor Networks in Event-Driven Applications With Mobile Sinks
%A Tashtarian, Farzad
%A Yaghmaee Moghaddam, Mohammad Hossein
%A Khosrow Sohraby
%A Effati, Sohrab
%J IEEE Transactions on Vehicular Technology
%@ 0018-9545
%D 2015

[Download]