- IoT and Edge/Fog Computing
- Advanced MIMO Systems Optimization
- Caching and Content Delivery
- Cooperative Communication and Network Coding
- Software-Defined Networks and 5G
- Advanced Wireless Network Optimization
- Opportunistic and Delay-Tolerant Networks
- Cloud Computing and Resource Management
- Wireless Networks and Protocols
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Energy Harvesting in Wireless Networks
- Context-Aware Activity Recognition Systems
- Pulsars and Gravitational Waves Research
- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
- Blockchain Technology Applications and Security
- Green IT and Sustainability
- Integrated Circuits and Semiconductor Failure Analysis
- Peer-to-Peer Network Technologies
- Molecular Communication and Nanonetworks
- Embedded Systems Design Techniques
- Interconnection Networks and Systems
- Seismology and Earthquake Studies
- Distributed and Parallel Computing Systems
Centre for Development of Telematics
2024
Indian Institute of Technology Delhi
2021-2023
Reliance Industries (India)
2019-2021
Chandigarh University
2021
National Institute for Subatomic Physics
2021
Utrecht University
2021
Indian Institute of Advanced Research
2021
IBM Research - India
2014-2019
All India Council for Technical Education
2019
IBM (United States)
2015-2017
The performance of RF powered communication networks is bottlenecked by the short downlink energy transfer range and doubly near-far problem faced in uplink information to hybrid access point (HAP). These problems can be resolved cooperation an harvesting node R present between HAP source S. However, there lies a dilemma at on whether its harvested S or act as relay for transferring data two-hop fashion. This paper resolves this providing insights into optimal positions suited either...
In this paper, we propose PROMETHEUS, a framework for proactive temperature aware scheduling of embedded workloads on single instruction set architecture heterogeneous multiprocessor systems-on-chip. It systematically combines task assignment, migration, and dynamic voltage frequency scaling. PROMETHEUS is based our novel low overhead prediction technique, Tempo. contrast to previous work, Tempo allows accurate estimation potential thermal effects future decisions without requiring any...
Quantum cloud computing is an emerging paradigm of that empowers quantum applications and their deployment on resources without the need for a specialized environment to host operate physical computers. This paper reviews recent advances, identifies open problems, proposes future directions in computing. It discusses state-of-the-art including various cloud-based models, platforms, recently developed technologies software use cases. Furthermore, it different aspects cloud, resource...
Joint routing-and-scheduling has been considered in wireless mesh networks for its significant performance improvement. While existing work assumes it, accurate traffic information is usually not available due to dynamics, as well inaccuracy and delay measurement dissemination. In addition, the joint routing scheduling requires a centralized controller calculate optimal distribute such policies all nodes. Thus, even if always available, central compute repeatedly because demands change...
This paper proposes game-theoretic formulations for addressing resource management issues in GSM/GPRS/EGPRS-based and CDMA/HDR-CDMA-based wireless networks. Network-assisted is used, with minimal inter-base signaling costs, to transfer the intelligence control needed from terminal network. Both non-cooperative coalitional games are used address such as link adaptation power control, channel re-allocation, re-assignment, and, hard soft handoffs control.
This paper explores latency-aware and policy-aware optimized placement of virtual network functions across data centers in NFV systems. A hierarchy distributed is suggested to support function software appliances with the flexibility place based on performance requirements hierarchy, different test scenarios for optimal VNF are studied. The discusses options virtualization such as hierarchical partitioning, collapsing, replication, north/south splitting, explore
The robust delivery of video over emerging wireless networks poses many challenges due to the heterogeneity access networks, variations in streaming devices, and expected network conditions caused by interference co-existence. By combining continuous scalability MPEG-4 fine-granularity-scalability (FGS) coding with robustness variable modulation, a powerful method transmission is achieved that allows stream be viewed imperceptible degradation continuously changing channel. In addition,...
While the connectivity, sensing, and computational capabilities of today's smartphones have increased, congestion in wireless channels energy consumption remain major issues. We present a technique for model-driven adaptive environmental designed to reduce amount data that is communicated over cellular network. In simulations an exposure monitoring system, our reduced number messages sent by 85%, obtained power savings 80% while generating global model pollution with error maximum 0.5 ppm,...
One of the key goals Network Functions Virtualization (NFV) is achieving energy efficiency through workload consolidation. A good example for maximizing savings Content Delivery Networks (vCDNs) NFV use case where video streaming workloads exhibit significant difference between prime-time and non-prime-time usage infrastructure. This paper examines practical challenges in vCDN workloads. proposes an open architectural framework conveying content virality information from Cloud applications...
Behavioral security threats such as Distributed Denial of Service (DDoS) attacks are an ongoing problem in large scale Data Centers (DC) and pose huge performance challenges to DC operators. Typically, a dedicated Firewall/DDoS appliance is needed for Layer 2-7 behavioral threat detection mitigation. This solution cost prohibitive multi-tenant DCs with high throughput needs. paper examines various 2-4 methods assists which implement able the switches routers at low cost. For DCs, this...
The problem of test generation belongs to the class NP-complete problems and it is becoming more difficult as complexity VLSI circuits increases, long execution times pose an additional problem. Parallel implementations can potentially provide significant speedups while retaining good quality results. In this paper, we present three parallel genetic algorithms for simulation-based sequential circuit generation. Simulation-based generators are capable handling constraints complex design...
Traditional network infrastructure is facing significant challenges to support the growing bandwidth, coverage, and latency requirements of users, new 4G 5G use-cases. As a solution, telecom operators are looking implement Network Function Virtualization (NFV) in future networks. The placement Virtual Functions (VNFs) plays critical role reducing serve while also helping overall operational cost network. This work focuses on VNF problem context mobility handovers, scenarios such as mobile...
Changing lanes while driving is one of the primary causes accidents on highways. a complex, voluntary maneuver that requires driver vehicle to assess traffic in original and target lanes, adjacent drivers' disposition, as well time available complete before undertaking maneuver. Existing techniques use V2V communication relies IEEE 802.11p WAVE standard which has not been adopted widely because, (1) requirement separate on-board unit makes this choice expensive, (2) variation spectral bands...
We propose three synchronous parallel algorithms for scalable test set partitioned fault simulation. The are based on a new two-stage approach to parallelizing simulation sequential VLSI circuits in which the is among available processors, partitioning inherent overcomes good circuit logic bottleneck that exists traditional approaches implementations were done shared memory multiprocessor and network of workstations. Two show small degree pessimism few cases, with respect coverage as...
We propose an integrated cross-layer optimization algorithm for maximizing the decoded video quality of delay-constrained streaming in a quality-of-service (QoS) enabled multi-hop wireless mesh network. The key to our is synergistic control parameters at each node network, across protocol layers - application, medium access (MAC) and physical (PHY) layers, as well end-to-end, i.e. various network nodes. To drive this optimization, we assume overlay infrastructure, which conveys information...
Mobile client platforms have emerged with the ability to access and utilize multiple wireless networks concurrently. Aggregation can be performed using modems on one device or cooperatively across devices within proximity of each other. This paper explores various concurrent bandwidth aggregation schemes. The achieved application-layer, transport layer like MultipathTCP, layers below IP such as RLC layer. These schemes are compared. In general, lower is closer easier adapt varying channel...
This paper discusses the design of a mobile number portability processing system in telecom domain with solution proposed using permissioned private blockchain technology. As first step, is designed to be managed by neutral entity. Subsequently, extended supported blockchain-based platform. The Hyperledger Fabric platform used as framework develop solution. Channels are utilized for different subsets nodes that interact each other enable transactions system. Concurrent state transition graph...
The matched filtering paradigm is the mainstay of gravitational wave (GW) searches from astrophysical coalescing compact binaries (e.g., binary black holes, neutron star, and hole pair). coalescence (CBC) search pipelines (e.g. GstLAL, PyCBC) perform filter between GW detector's data a large set analytical waveforms. However, computational cost performing very high as required number waveforms also high. Recently, various deep learning-based methods have been deployed to identify signal in...
Energy consumption is a critical parameter in wireless healthcare systems which consist of battery operated devices such as sensors and local aggregators. The system lifetime depends on the allocation processing, sensing, communication tasks to system. In this paper, we optimize life by efficiently assigning available resources. There are several dynamically changing characteristics system, task parameters (processing complexity, arrival rate, output data), each device's capacity, varying...