A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

Shahraki, Amin; Taherkordi, Amir; Haugen, Øystein; Eliassen, Frank

doi:10.1109/tnsm.2020.3035315

Cited by 110 publications

(38 citation statements)

References 312 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These nodes are resource-constrained and cannot take the burden of detecting a complex event. They are also clustered according to their deployed geographical region [34]. Figure 2 illustrates the clustered network model where Fog nodes constitute the middle layer (fog layer) of the network structure.…”

Section: B Network Modelmentioning

confidence: 99%

Complex Event Processing in Smart City Monitoring Applications

2021

View full text Add to dashboard Cite

Managing multi-tenant edge devices with heterogeneous capabilities scattered across an urban area requires significant communication and computing power, which is challenging when devices are also resource-constrained. These devices play a crucial role in smart city monitoring systems by notifying various municipal organizations about a wide range of ongoing complex events. Some recent approaches in complex event processing use a publish-subscribe architectural pattern to decouple simple event producers from complex event consumers. However, they did not fully address communication efficiency or diverse quality of service (QoS) requirements in aggregating events. This paper proposes a new architecture that integrates the publish-subscribe architectural pattern with software-defined network technology for urban monitoring applications. The architecture enhances monitoring applications with capabilities of distributed processing and detection of complex events. It also enables application developers to define QoS requirements and supports the TESLA complex event specification language. The main focus of our work is on energy and network efficiency. The simulation results demonstrate significant improvements in energy consumption and data packet traffic compared to three close baselines.

show abstract

Section: B Network Modelmentioning

confidence: 99%

Complex Event Processing in Smart City Monitoring Applications

2021

View full text Add to dashboard Cite

show abstract

“…It is niche factor that decide the faithful operation of the WSNs and IoT's integration. It is utter most important to keep an eye on the topology change of WSNs [6][7][8].…”

Section: Addressingmentioning

confidence: 99%

Challenges of WSNs in IoT

Kundaliya¹

2021

Wireless Sensor Networks - Design, Deployment and Applications

View full text Add to dashboard Cite

IoT and WSNs are the prime moving force for technology in the current world. WSNs unfold their capacity day by day in almost every aspect of life. IoT enables to integrate the different devices and makes it possible to communicate with each other. It makes life easier and upgrades the application’s usage to the next level. The integration of WSNs with IoT will help to reach apical of the usage of applications. The combination of WSNs and IoT will open up new doors in almost all the possible fields however the amalgamation of both the technology needs careful consideration about bringing the both on same level. The IoT is considered a mighty giant with enormous power and capability. On the other side, WSNs are miniature having limited resources but the tremendous capability to penetrate in almost every aspect of life. WSN’s limited resources are the main concern while integrating it with the IoT. The integration will make it possible to access the sensor node from any part of the world. It implies that now the sensor node is open for any heterogeneous internet user in the world. It will cause a security issue. Moreover, the topology and addressing of WSNs are different from the normal internet which needs to be addressed during the integrations. And there are other challenges too which we discussed in depth in this chapter.

show abstract

“…), the requirements of mobility, collaboration and low power consumption are put forward for monitoring devices. Therefore, simply introducing fixed-position sensors/cameras to deploy traditional wireless sensor networks (WSN) [1,2] or Internet of things (IoT) [3,4] is difficult to meet the mobility needs [5][6][7][8], so it is necessary to implement the mobile surveillance over gazing lands and livestock in ethnic areas. On the one hand, it requires that the wireless communication mechanism used by mobile monitoring devices should have good robustness, and be able to adapt to bad communication conditions; On the other hand, considering the limited computing power and functions on the devices in the mobile wireless environment, mobile monitoring devices are also required to have the ability to cooperate with each other in more complex surveillance tasks.…”

Section: Introductionmentioning

confidence: 99%

Multi-Path Service Function Chaining for Mobile Surveillance of Animal Husbandry

Duhayyim¹,

Alshahrani²,

Al‐Wesabi³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Animal husbandry is the pillar industry in some ethnic areas of China. However, the communication/networking infrastructure in these areas is often underdeveloped, thus the difficulty in centralized management, and challenges for the effective monitoring. Considering the dynamics of the field monitoring environment, as well as the diversity and mobility of monitoring targets, traditional WSN (Wireless Sensor Networks) or IoT (Internet of Things) is difficult to meet the surveillance needs. Mobile surveillance that features the collaboration of various functions (camera, sensing, image recognition, etc.) deployed on mobile devices is desirable in a volatile wireless environment. This paper proposes the service function chaining for mobile surveillance of animal husbandry, which orchestrates multi-path multifunction (MPMF) chains to help mobile devices to collaborate in complex surveillance tasks, provide backup chains in case the primary service function chain fails due to mobility, signal strength, obstacle, etc., and make up for the defects of difficult deployment of monitoring facilities in ethnic areas. MPMF algorithm models both mobile devices and various functions deployed on them as abstract graph nodes, so that chains that are required to traverse various functions and hosting mobile devices can be orchestrated in a single graphbased query through modified and adapted Dijkstra-like algorithms, with their cost ordered automatically. Experiment results show that the proposed MPMF algorithm finds multiple least-costly chains that traverse demanded functions in a timely fashion on Raspberry Pi-equipped mobile devices.

show abstract

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms

Cited by 110 publications

References 312 publications

Complex Event Processing in Smart City Monitoring Applications

Complex Event Processing in Smart City Monitoring Applications

Challenges of WSNs in IoT

Multi-Path Service Function Chaining for Mobile Surveillance of Animal Husbandry

Contact Info

Product

Resources

About