Gopika Premsankar

ORCID: 0000-0003-3463-6077
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About
Contact & Profiles
Research Areas
  • Caching and Content Delivery
  • IoT and Edge/Fog Computing
  • IoT Networks and Protocols
  • Cloud Computing and Resource Management
  • Energy Harvesting in Wireless Networks
  • Robotics and Sensor-Based Localization
  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling
  • Age of Information Optimization
  • Wireless Body Area Networks
  • Opportunistic and Delay-Tolerant Networks
  • Software-Defined Networks and 5G
  • Bluetooth and Wireless Communication Technologies
  • Context-Aware Activity Recognition Systems
  • Image and Video Quality Assessment
  • Interactive and Immersive Displays
  • Network Traffic and Congestion Control
  • Advanced Optical Sensing Technologies
  • Advanced Vision and Imaging
  • Transportation and Mobility Innovations
  • Interconnection Networks and Systems
  • Power Line Communications and Noise
  • Vehicular Ad Hoc Networks (VANETs)
  • Green IT and Sustainability
  • Distributed and Parallel Computing Systems

Aalto University
2015-2025

University of Helsinki
2022-2023

Nokia (Ireland)
2021

Western University
2021

The amount of data generated by sensors, actuators, and other devices in the Internet Things (IoT) has substantially increased last few years. IoT are currently processed cloud, mostly through computing resources located distant centers. As a consequence, network bandwidth communication latency become serious bottlenecks. This paper advocates edge for emerging applications that leverage sensor streams to augment interactive applications. First, we classify survey current architectures...

10.1109/jiot.2018.2805263 article EN IEEE Internet of Things Journal 2018-02-12

Large-scale Internet of Things (IoT) deployments demand long-range wireless communications, especially in urban and metropolitan areas. LoRa is one the most promising technologies this context due to its simplicity flexibility. Indeed, deploying networks dense IoT scenarios must achieve two main goals: efficient communications among a large number devices resilience against dynamic channel conditions demanding environmental settings (e.g., presence many buildings). This work investigates...

10.1109/noms.2018.8406255 article EN NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium 2018-04-01

Recent advancements in virtualization and software architecture have led to the new paradigm of serverless computing, which allows developers deploy applications as stateless functions without worrying about underlying infrastructure. Accordingly, a platform handles lifecycle, execution scaling actual functions; these need run only when invoked or triggered by an event. Thus, major benefits computing are low operational concerns efficient resource management utilization. Serverless is...

10.1109/cloudcom2018.2018.00033 article EN 2018-12-01

Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet connectivity to meet the requirements of different applications, ranging from virtual reality Things. To this aim, edge caching, computing, communication (edge-C3) have emerged bring network resources (i.e., bandwidth, storage, computing) closer end users. Edge-C3 improves resource utilization as well quality experience (QoE) Recently, several video-oriented mobile applications (e.g., live content...

10.1109/comst.2020.3035427 article EN cc-by-nc-nd IEEE Communications Surveys & Tutorials 2020-11-09

Long range (LoRa) is a wireless communication standard specifically targeted for resource-constrained Internet of Things (IoT) devices. LoRa promising solution smart city applications as it can provide long-range connectivity with low energy consumption. The number LoRa-based networks growing due to its operation in the unlicensed radio bands and ease network deployments. However, scalability such suffers deployed devices increases. In particular, performance drops increased contention...

10.1109/tii.2020.2967123 article EN cc-by IEEE Transactions on Industrial Informatics 2020-02-13

The main drivers for the mobile core network evolution is to serve future challenges and set way 5G networks with need high capacity low latency. Different technologies such as Network Functions Virtualization (NFV) Software Defined Networking (SDN) are being considered address needs of networks. However, applications Internet Things (IoT), video services others still unveiled will have different requirements, which emphasize dynamic scalability functionality. means efficient resource...

10.1109/eucnc.2015.7194059 article EN 2015-06-01

Vehicular applications in smart cities, including assisted and autonomous driving, require complex data processing low-latency communication. An effective approach to address these demands is leverage the edge computing paradigm, wherein storage resources are placed at access points of vehicular network, i.e., roadside units (RSUs). Deploying devices for urban scenarios presents two major challenges. First, it difficult ensure continuous wireless connectivity between vehicles RSUs,...

10.1109/noms.2018.8406256 article EN NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium 2018-04-01

Edge computing is a promising solution to host artificial intelligence (AI) applications that enable real-time insights on user-generated and device-generated data. This requires edge resources (storage compute) be widely deployed close end devices. Such deployments require large amount of energy run as are typically overprovisioned flexibly meet the needs time-varying user demand with low latency. Moreover, AI rely deep neural network (DNN) models increasingly larger in size support high...

10.1109/jiot.2022.3162581 article EN cc-by IEEE Internet of Things Journal 2022-03-28

Mobile Augmented Reality (AR) demands realistic rendering of virtual content that seamlessly blends into the physical environment. For this reason, AR headsets and recent smartphones are increasingly equipped with Time-of-Flight (ToF) cameras to acquire depth maps a scene in real-time. ToF cheap fast, however, they suffer from several issues affect quality data, ultimately hampering their use for mobile AR. Among them, scale errors objects - appearing much bigger or smaller than what should...

10.1145/3517260 article EN Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 2022-03-29

Long Range (LoRa) is a low-power wireless communication technology for long-range connectivity, extensively used in the Internet of Things. Several works literature have analytically characterized performance LoRa networks, with particular focus on scalability and reliability. However, most related models are limited, as they cannot account factors that occur practice, or make strong assumptions how devices deployed network. This article proposes an analytical model describes delivery ratio...

10.1109/infocom42981.2021.9488783 article EN IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2021-05-10

Network Functions Virtualization (NFV) consists of implementing network functions as software applications that can run on general-purpose servers. This paper discusses the application NFV to Mobility Management Entity (MME), a control plane entity in Evolved Packet Core (EPC). With convergence cloud computing and mobile networks, conventional architectures elements need be re-designed order fully harness benefits such scalability elasticity. To this end, we design implement distributed MME...

10.1109/cloudcom.2015.54 article EN 2015-11-01

Mobile augmented reality (AR) has the potential to enable immersive, natural interactions between humans and cyber-physical systems. In particular markerless AR, by not relying on fiducial markers or predefined images, provides great convenience flexibility for users. However, unwanted virtual object movement frequently occurs in smartphone AR due inaccurate scene understanding, resulting errors device pose tracking. We examine factors which may affect stability, design experiments measure...

10.1109/cphs56133.2022.9804545 article EN 2022-05-01

Edge computing brings and storage resources close to end-users support new applications services that require low network latency. It is currently used in a wide range of industries, from industrial automation augmented reality, smart cities connected vehicles, where latency, data privacy, real-time processing are critical requirements. The latency accessing edge must be consistently below threshold few tens milliseconds maintain an acceptable experience for end-users. However, the between...

10.1016/j.omega.2024.103064 article EN cc-by-nc Omega 2024-02-21

The energy consumption of mobile networks is already substantial nowadays, and only expected to further increase with the roll-out 5G. Base stations are key elements in this context: reducing their paramount importance for network operators, not lower operating costs, but also meet sustainable development goals. Today's base typically over-provisioned, i.e., they comprise multiple cells peak load a region. Therefore, savings possible by switching off that under-utilized. This article...

10.1109/tnsm.2021.3083073 article EN IEEE Transactions on Network and Service Management 2021-05-24

In Figure 2, the node locations for LOS scenario are actually represented by light blue circles with a vertical pattern.Instead, non-LOS shown pink circles.

10.1109/tii.2022.3187721 article EN IEEE Transactions on Industrial Informatics 2022-07-01

Edge computing brings and storage resources close to end-users support new applications services that require low network latency. Examples of such include augmented reality, connected cars, gaming video analytics. The latency accessing must be consistently below a threshold few tens milliseconds maintain an acceptable experience for end users. However, the between users can vary considerably depending on load mode wireless access. An application provider able guarantee requests are served...

10.2139/ssrn.4348737 article EN 2023-01-01

Mobile devices are expected to be always connected, and this implies that the mobile network is able quickly identify address faults impact service (for example, due power outages). In article, we present our approach for automatically detecting mass outages. Our solution decreases number of created trouble tickets in two networks by 4.7% 9.3%.

10.1145/3581791.3597365 article EN 2023-06-16
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