Power Profiling of Context Aware Systems: A Contemporary Analysis and Framework for Power Conservation

Mahmud, Umar; Hussain, Shariq; Yang, Shunkun

doi:10.1155/2018/1347967

Cited by 10 publications

(6 citation statements)

References 60 publications

(69 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to this, the QoC is limited and does not cater to the energy or power used to gather and subsequently process the context (Mahmud et al, 2018). A context-aware system is part of an IoE environment.…”

Section: A Mathematical Model For Green Context-awarenessmentioning

confidence: 99%

Augmenting context with power information for green context-awareness in smart environments

Mahmud,

Hussain

2024

Front. Comput. Sci.

Self Cite

View full text Add to dashboard Cite

The increase in the use of smart devices has led to the realization of the Internet of Everything (IoE). The heart of an IoE environment is a Context-Aware System that facilitates service discovery, delivery, and adaptation based on context classification. The context has been defined in a domain-dependent way, traditionally. The classical models of context have been focused on rich context and lack Cost of Context (CoC) that can be used for decision support. The authors present a philosophy-inspired mathematical model of context that includes confidence in activity classification of context, the actions performed, and the power information. Since a single recurring activity can lead to distinct actions performed at different times, it is better to record the actions. The power information includes the power consumed in the complete context processing and is a quality attribute of the context. Power consumption is a useful metric as CoC and is suitable for power-constrained context awareness. To demonstrate the effectiveness of the proposed work, example contexts are described, and the context model is presented mathematically in this study. The context is aggregated with power information, and actions and confidence on the classification outcome lead to the concept of situational context. The results show that the context gathered through sensor data and deduced through remote services can be made more rich with CoC parameters.

show abstract

Section: A Mathematical Model For Green Context-awarenessmentioning

confidence: 99%

Augmenting context with power information for green context-awareness in smart environments

Mahmud,

Hussain

2024

Front. Comput. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Wang has highlighted the concept of power awareness in smart traffic control. Power awareness is the ability of a smart machine to provide services while consuming less power and reducing carbon emissions [33].…”

Section: Literature Reviewmentioning

confidence: 99%

A Distributed Emergency Vehicle Transit System Using Artificial Intelligence of Things (DEVeTS-AIoT)

Mahmud

Hussain

Sarwar

et al. 2022

Wireless Communications and Mobile Computing

Self Cite

View full text Add to dashboard Cite

The advent of the 4th industrial revolution has realized smart environments composed of cloud and fog. These have been improved to enable intelligence at the fog, where numerous, inexpensive devices communicate with each other and provide computation capabilities to solve domain-specific problems in a distributed fashion. One of these domains is smart traffic flow with a focus on emergency vehicle (EV) transit. The increase in traffic congestion in third-world countries is a hindrance in EV transit to save human lives. This paper proposes an Artificial Intelligence of Things– (AIoT–) based, distributed, EV transit system developed on Raspberry PI as a rule-based system with minimal sensors. The sensors include an infrared sensor to detect emergency light and directional microphones to detect siren. The departure direction of the EV is shared with adjacent intersections to further reduce the transit time.

show abstract

“…Te information is represented and stored in a common open standard to achieve interoperability among diferent types of systems [11]. Te smart devices not only contain personal information but also keep on monitoring system data including sensor information, power information, location information, and activity information [12]. While smart devices can be made secure and personal and system data can be protected, the software that needs to run on these devices should be developed securely.…”

Section: Introductionmentioning

confidence: 99%

Mitigating Software Vulnerabilities through Secure Software Development with a Policy-Driven Waterfall Model

Hussain,

Anwaar,

Sultan

et al. 2024

Journal of Engineering

Self Cite

View full text Add to dashboard Cite

For the past few years, software security has become a pressing issue that needs to be addressed during software development. In practice, software security is considered after the deployment of software rather than considered as an initial requirement. This delayed action leads to security vulnerabilities that can be catered for during the early stages of the software development life cycle (SDLC). To safeguard a software product from security vulnerabilities, security must be given equal importance with functional requirements during all phases of SDLC. In this paper, we propose a policy-driven waterfall model (PDWM) for secure software development describing key points related to security aspects in the software development process. The security requirements are the security policies that are considered during all phases of waterfall-based SDLC. A framework of PDWM is presented and applied to the e-travel scenario to ascertain its effectiveness. This scenario is a case of small to medium-sized software development project. The results of case study show that PDWM can identify 33% more security vulnerabilities as compared to other secure software development techniques.

show abstract

Power Profiling of Context Aware Systems: A Contemporary Analysis and Framework for Power Conservation

Cited by 10 publications

References 60 publications

Augmenting context with power information for green context-awareness in smart environments

Augmenting context with power information for green context-awareness in smart environments

A Distributed Emergency Vehicle Transit System Using Artificial Intelligence of Things (DEVeTS-AIoT)

Mitigating Software Vulnerabilities through Secure Software Development with a Policy-Driven Waterfall Model

Contact Info

Product

Resources

About