Heterogeneous-Oriented Resource Allocation Method in Internet of Things

Lan, Hai; Song, Hong; Liu, Hai Bo; Zhang, Guo Yin

doi:10.4028/www.scientific.net/amm.427-429.2791

Cited by 7 publications

(6 citation statements)

References 6 publications

(4 reference statements)

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“…The audit of resource usage help to control the bad resource utilization and increase the utilization of the resources that in turn improve the performance and reduce the total cost of the system. Another method [33], based on Stackelberg game model has been proposed to reduce the network resource cost. The method analysis the lower and upper layer of the net-work and verifies the Nash equilibrium point of the no n-cooperative game between the upper layer of the network to reduce the cost.…”

Section: Cost-aware Iot Resource Allocationmentioning

confidence: 99%

Resource Management Techniques for Cloud-Based IoT Environment

Ali

Ansari

Alam

2020

Internet of Things (IoT)

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Internet of Things (IoT) is an Internet-based environment of connected devices and applications. IoT creates an environment where physical de-vices and sensors are flawlessly combined into information nodes to deliver innovative and smart services for human-being to make their life easier and more efficient. The main objective of the IoT devices-network is to generate data, which are converted into useful information by the data analysis process, it also provides useful resources to the end-users. IoT resource management is a key challenge to ensure the quality of end-user's experience. Many IoT smart devices and technologies like sensors, actuators, RFID, UMTS, 3G, and GSM etc. are used to develop IoT networks. Cloud Computing plays an important role in these net-works deployment by providing physical resources as virtualized resources consist of memory, computation power, network bandwidth, virtualized system and device drivers in secure and pay as per use basis. One of the major concerns of Cloud-based IoT environment is resource management, which ensures efficient resource utilization, load balancing, reduce SLA violation, and improve the system performance by reducing operational cost and energy consumption. Many researchers have been proposed IoT based resource management techniques. The focus of this paper is to investigate these proposed resource allocation techniques and finds which parameters must be considered for improvement in resource allocation for IoT networks. Further, this paper also uncovered challenges and issues of Cloud-based resource allocation for IoT environment.

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Section: Cost-aware Iot Resource Allocationmentioning

confidence: 99%

Resource Management Techniques for Cloud-Based IoT Environment

Ali

Ansari

Alam

2020

Internet of Things (IoT)

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“…Game theory is used in IoT environment by various authors. Stackelberg game has been used for resource allocation and for pricing scenario in heterogeneous IoT network. Fuhong et al use cooperative differential GT to calculate Nash equilibrium.…”

Section: Related Workmentioning

confidence: 99%

“…Game theory is used in IoT environment by various authors. Stackelberg game has been used for resource allocation 41 and for pricing scenario 42 46 used GT in industrial supply chain management to construct model of competition and cooperation between participants. Zhang and Cao 47 combine models of multiagent and evolutionary GT in IoT-based environment to calculate cooperative patterns between 2 players.…”

Section: Game Theory In Internet Of Thingsmentioning

confidence: 99%

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Security in IoT network based on stochastic game net model

Kaur

Sood

2017

Int J Network Mgmt

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Summary The growing prevalence of Internet of Things (IoT) ushers itself with various security concerns. Being complex in nature, traditional security countermeasures cannot be applied directly to IoT networks. Addressing this problem, this paper aims to combine the capabilities of 2 traditional methods namely, game theory (GT) and stochastic Petri nets (SPN), such that the resultant model is compatible for complex IoT networks. Game theory does not have enough modeling capability to cope up with complexity of IoT networks. However, it has an advantage of providing a priori idea of attacker's actions and strategies with the help of Nash equilibrium. This information is used by administrators to devise appropriate action plan to detect and prevent attacks on network. On the other hand, SPN is a dynamic, scalable and probabilistic model, which overcomes the limitations of GT. Nevertheless, it is not able to compute best strategies (Nash equilibrium) of attacker. Therefore, this paper proposes stochastic game net (SGN)–based model for security in IoT, which combines the advantages of SPN and GT. The novelty of the work lies in the fact that this is the first attempt to define SGN for handling security issues in IoT. Simulations performed using OPNET tool show that SGN shows 5.94% and 5.91% improvement in terms of confidentiality, 6.4% and 8% improvement in terms of integrity, and 6.7% and 8.9% improvement in terms of availability over SPN and GT, respectively.

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“…In 2013, Ding et al developed a non‐cooperative game strategy for identifying the internal attacks in a sensor network of IoT environment. In 2013, Lan et al used Stackelberg game model for negotiation between pricing and resource allocation in heterogeneous IoT networks. In 2013, Wang et al provided secure data fusion based on game theory.…”

Section: Related Workmentioning

confidence: 99%

A stochastic game net‐based model for effective decision‐making in smart environments

Sandhu

Sood

2016

Concurrency and Computation

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SUMMARYInternet of Things (IoT) in today's smart environments has many applications in gerontology, health care, transportation, and smart cities. Many challenges still exist in developing IoT-based smart environments. Dynamic generation of action strategies based on multiple IoT object's input is one of the major challenges. In this paper, stochastic Petri nets and game theory are combined to create stochastic game nets (SGNs) for IoT-based smart environment where each IoT device acts as a player with predefined place and action sets. Complete SGN will be created dynamically using individual sensor SGNs which will make IoT-based smart environments highly interoperable and scalable. Proposed model is used to predict activities performed by two-single person in their respective home with more than 70 sensors. Simulation results show suitability of proposed model in smart environments. Proposed model is tested for smart homes, but it can be used in any IoT-based smart environment.

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Heterogeneous-Oriented Resource Allocation Method in Internet of Things

Cited by 7 publications

References 6 publications

Resource Management Techniques for Cloud-Based IoT Environment

Resource Management Techniques for Cloud-Based IoT Environment

Security in IoT network based on stochastic game net model

A stochastic game net‐based model for effective decision‐making in smart environments

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