Evaluating Service Disciplines for On-Demand Mobile Data Collection in Sensor Networks

2014 ◽  
Vol 13 (4) ◽  
pp. 797-810 ◽  
Author(s):  
Liang He ◽  
Zhe Yang ◽  
Jianping Pan ◽  
Lin Cai ◽  
Jingdong Xu ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Data Collection ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
On Demand ◽  
Service Disciplines

scholarly journals On-Demand Mobile Data Collection in Cyber-Physical Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Liang He ◽  
Linghe Kong ◽  
Jun Tao ◽  
Jingdong Xu ◽  
Jianping Pan
Keyword(s):  
Data Collection ◽  
Research Effort ◽  
Large Data ◽  
Cyber Physical Systems ◽  
Data Generation ◽  
Time Data ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Physical Systems ◽  
On Demand

The collection of sensory data is crucial for cyber-physical systems. Employing mobile agents (MAs) to collect data from sensors offers a new dimension to reduce and balance their energy consumption but leads to large data collection latency due to MAs’ limited velocity. Most existing research effort focuses on the offline mobile data collection (MDC), where the MAs collect data from sensors based on preoptimized tours. However, the efficiency of these offline MDC solutions degrades when the data generation of sensors varies. In this paper, we investigate the on-demand MDC; that is, MAs collect data based on the real-time data collection requests from sensors. Specifically, we construct queuing models to describe the First-Come-First-Serve-based MDC with a single MA and multiple MAs, respectively, laying a theoretical foundation. We also use three examples to show how such analysis guides online MDC in practice.

Mobile data collection in sensor networks: The TinyLime middleware

2005 ◽  
Vol 1 (4) ◽  
pp. 446-469 ◽  
Author(s):  
Carlo Curino ◽  
Matteo Giani ◽  
Marco Giorgetta ◽  
Alessandro Giusti ◽  
Amy L. Murphy ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Data Collection ◽  
Mobile Data ◽  
Mobile Data Collection

scholarly journals Energy Efficient Mobile Data Collection in Three Layered Wireless Sensor Networks

2018 ◽  
Vol 1 (25) ◽  
pp. 443-456
Author(s):  
Riyadh Rahef Nuiaa
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Energy Efficient ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Monitoring And Surveillance ◽  
Layered Approach

Wireless Sensor Networks (WSNs) are widely used for different applications such as monitoring and surveillance in both civilian and military domains. Mobile data collection has significant impact on the performance of WSN. Therefore it is essential to have mechanisms to improve it. In this paper we proposed a three-layered approach that is used to collect data in wireless sensor network. The three layers include sensor layer which is made up of collection of sensors, cluster head layer which is made up of all cluster heads, and the mobile collector layer. The proposed approach also takes care of distributed load balanced clustering. The aim of the proposed approach is to achieve scalable solution with low data collection latency and energy efficiency. While sensors are organized into clusters the distributed algorithm is applied so as to ensure that the efficiency of the network is achieved. We built a prototype application using Microsoft .NET which simulates the proposed approach. The empirical results revealed that the proposed layered approach is energy efficient, scalable and achieves low latency in data collection.

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