Quality-Of-Information Aware Data Delivery for Wireless Sensor Networks: Description and Experiments

As wireless sensor networks (WSNs) often provide incorrect and outdated information about the events in a monitored environment, quality of information (QoI) assessment is invaluable for users to manage and use the information in particular applications. In this paper, we propose a flexible framework to dynamically assess the QoI in different WSN applications, with focus on accuracy and timeliness. Our framework is constructed on the infrastructure of an information aggregation procedure under some assumptions about the network. Based on information fusion theory, two processing models are adopted to assess the accuracy of low-level measurement data and high-level decision information without the need for Ground Truth (GT). Meanwhile, our framework generally exploits two respective models according to the specific category of the information timeliness in different delay-sensitive applications. To quantify the timeliness, we utilize a practical measurement method by means of timestamp to determine the information acquisition time. The framework is evaluated by simulations, including accuracy assessment in two environmental monitoring application scenarios, and timeliness assessment in two delay-sensitive application scenarios. The simulation results show that our framework is effective and flexible for quantitative assessment of the QoI in different WSN applications.

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Energy Harvesting Path Planning Strategy on the Quality of Information for Wireless Sensor Networks

2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) ◽

10.1109/iciase45644.2019.9074030 ◽

2019 ◽

Author(s):

Wen-Hwa Liao ◽

Ssu-Chi Kuai ◽

Chih-Kai Chang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Energy Harvesting ◽

Path Planning ◽

Wireless Sensor ◽

Quality Of Information ◽

Planning Strategy

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MQoSR: A Multiobjective QoS Routing Protocol for Wireless Sensor Networks

ISRN Sensor Networks ◽

10.1155/2013/495803 ◽

2013 ◽

Vol 2013 ◽

pp. 1-12 ◽

Cited By ~ 14

Author(s):

Hind Alwan ◽

Anjali Agarwal

Keyword(s):

Wireless Sensor Networks ◽

Quality Of Service ◽

Sensor Networks ◽

Network Lifetime ◽

Routing Protocol ◽

Data Transmission ◽

Qos Routing ◽

Wireless Sensor ◽

Data Delivery

With the growing demand for quality-of-service (QoS) aware routing protocol in wireless networks, QoS-based routing has emerged as an interesting research topic. Quality of service guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the available resources of sensors and the various applications running over these networks have different constraints in their nature and requirements. In this paper, we present a heuristic neighbor selection mechanism in WSNs that uses the geographic routing mechanism combined with the QoS requirements to provide multiobjective QoS routing (MQoSR) for different application requirements. The problem of providing QoS routing is formulated as link, and path-based metrics. The link-based metrics are partitioned in terms of reliability, delay, distance to sink, and energy, and the path-based metrics are presented in terms of end-to-end delay, reliability of data transmission, and network lifetime. The simulation results demonstrate that MQoSR protocol is able to achieve the delay requirements, and due to optimum path selection process, the achieved data delivery ratio is always above the required one. MQoSR protocol outperforms the existing model in the literature remarkably in terms of reliable data transmission, time data delivery, and routing overhead and underlines the importance of energy-efficient solution to enhance network lifetime.

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