Deepaknath Tandur

Information Centric Networking (ICN) has emerged as a promising solution to address the data dissemination and scalability concerns with the traditional TCP/IP Internet architecture. Named Data Networking (NDN) is a prominent ICN architecture that supports in-network caching, easy-to-deploy multicast communication and in-built security mechanisms, thus facilitating efficient, secure and timely delivery of content to the end users. These attributes make NDN a promising solution to meet the… Show more

Information Centric Networking (ICN) has emerged as a promising solution to address the data dissemination and scalability concerns with the traditional TCP/IP Internet architecture. Named Data Networking (NDN) is a prominent ICN architecture that supports in-network caching, easy-to-deploy multicast communication and in-built security mechanisms, thus facilitating efficient, secure and timely delivery of content to the end users. These attributes make NDN a promising solution to meet the requirements of IoT applications. Consequently, NDN based IoT deployments for health care to smart home systems, smart buildings and smart cities are on the rise. Nonetheless, the feasibility of using NDN for building next generation Industrial Automation and Control Systems (IACS) has not been studied. Industrial automation requires an efficient and scalable networking infrastructure that facilitates data sharing to drive operational improvements and develop business intelligence. Ethernet based networking solutions are becoming increasingly popular in IACS to provide seamless integration of industrial networks with the Internet. In this paper, we explore the possibilities to leverage the benefits of NDN to provide an efficient, flexible and scalable networking solution for IACS. We study the impact of making this radical change to industrial networks, highlighting the opportunities and challenges for future research and development in this direction. Show less

For an industrial network that is expected to perform with high reliability and availability, we consider the problem of designing a low-cost approach to continuous monitoring and maintenance of the communication links. A software defined wide area network (SD-WAN) based solution is proposed to adaptively monitor and manage the connectivity links from an end device as per the application requirement. Each such device may have multiple cellular interfaces, and we control the end-to-end delay… Show more

For an industrial network that is expected to perform with high reliability and availability, we consider the problem of designing a low-cost approach to continuous monitoring and maintenance of the communication links. A software defined wide area network (SD-WAN) based solution is proposed to adaptively monitor and manage the connectivity links from an end device as per the application requirement. Each such device may have multiple cellular interfaces, and we control the end-to-end delay jitter variation across the different interfaces via an intelligent traffic splitting scheme. We propose use of interstream coding to achieve target delay jitter and also a high reliability/availability. We use a decoupling approach to adapt the probabilistic traffic split into various interfaces and the extent of inter-stream coding. We provide an end-to-end measurement-based traffic splitting scheme that relies on a Machine Learning algorithm. We use a stochastic approximation-like algorithm (operating at a slower timescale) to obtain the right coding level. The various modules developed are pluggable in a pipeline-manner and work with real interfaces as well as simulators like openairinterface. We validate our analysis, and provide traffic split performance results from our working multi-access system (using cellular dongles, and also over openairinterface). Show less

An industrial IoT network may involve hundreds of IoT end-devices deployed over large geographical wide areas networks (WAN). These devices are expected to operate over several years and their individual communication interface may be gradually upgraded with multiple communication links in order to fit the changing application and data rate requirement. As industrial networks are expected to perform with high reliability and availability, a continuous monitoring and maintenance of these… Show more

An industrial IoT network may involve hundreds of IoT end-devices deployed over large geographical wide areas networks (WAN). These devices are expected to operate over several years and their individual communication interface may be gradually upgraded with multiple communication links in order to fit the changing application and data rate requirement. As industrial networks are expected to perform with high reliability and availability, a continuous monitoring and maintenance of these communication links is essential. A software defined WAN (SD-WAN) based solution allows to adaptively monitor and manage the connectivity links as per the application requirement. In this paper we design and implement a working SD-WAN based multi-access system for upstream communication between an IoT device and the control center. Each IoT device may have multiple cellular interfaces, and we control the end-to-end delay jitter variation across the different interfaces via an intelligent traffic splitting scheme.We provide an analysis of end-to-end delay jitter under LTEs uplink connection and use the structural results so obtained to design a traffic split mechanism. We validate our analysis, and provide traffic split performance results from our working multi-access system Show less

The rapid growth in Internet of Things (IoT) applications has seen an immense demand for long-range low-power wide area networks (LPWAN). LoRaWAN is one among the prominent LPWAN deployments that has been designed to support communication at a very low bit rate for battery operated devices. In this paper we study the different packet retransmission schemes that can be considered in LoRaWAN deployments. We present their analytical model and investigate the impact of these schemes with respect to… Show more

The rapid growth in Internet of Things (IoT) applications has seen an immense demand for long-range low-power wide area networks (LPWAN). LoRaWAN is one among the prominent LPWAN deployments that has been designed to support communication at a very low bit rate for battery operated devices. In this paper we study the different packet retransmission schemes that can be considered in LoRaWAN deployments. We present their analytical model and investigate the impact of these schemes with respect to the various performance factors of the network. Specifically, we evaluate the trade-off between the performance factors such as the collision probability and packet loss probability with respect to the selected retransmission schemes. We also study the effect of coverage with respect to the network density for a given re-transmission scheme. We conclude the paper with recommendation of selected retransmission schemes based on various performance factors. Show less

This paper investigates sparse sampling techniques applied to downsampling and interference detection for multiband radio frequency (RF) signals. To reconstruct a signal from sparse samples is a compressive sensing problem. This paper compares three different reconstruction algorithms: 1) ℓ 1 minimization; 2) greedy pursuit; and 3) MUltiple SIgnal Classification (MUSIC). We compare the performance of these algorithms and investigate the robustness to noise effects. Characteristics and… Show more

This paper investigates sparse sampling techniques applied to downsampling and interference detection for multiband radio frequency (RF) signals. To reconstruct a signal from sparse samples is a compressive sensing problem. This paper compares three different reconstruction algorithms: 1) ℓ 1 minimization; 2) greedy pursuit; and 3) MUltiple SIgnal Classification (MUSIC). We compare the performance of these algorithms and investigate the robustness to noise effects. Characteristics and limitations of each algorithm are discussed Show less

Multi-input multi-output (MIMO) systems are often realized with low cost front-end architectures, e.g. the so-called direct conversion (or zero IF) architectures. However, such systems are very sensitive to imperfections in the analog front-end resulting in radio frequency (RF) impairments such as in-phase/quadrature-phase (IQ) imbalance and carrier frequency offset (CFO). These RF impairments can result in a severe performance degradation. In this paper we propose RF impairment compensation… Show more

Multi-input multi-output (MIMO) systems are often realized with low cost front-end architectures, e.g. the so-called direct conversion (or zero IF) architectures. However, such systems are very sensitive to imperfections in the analog front-end resulting in radio frequency (RF) impairments such as in-phase/quadrature-phase (IQ) imbalance and carrier frequency offset (CFO). These RF impairments can result in a severe performance degradation. In this paper we propose RF impairment compensation techniques for orthogonal frequency division multiplexing (OFDM) based MIMO systems. We consider a digital compensation scheme for joint transmitter/receiver frequency selective IQ imbalance, CFO and channel distortion. We also show that in the case where there is no transmitter IQ imbalance, the receiver IQ imbalance compensation can be de-coupled from the channel equalization resulting in a compensation in two stages. The two-stage scheme results in an overall lower computational requirement. The various compensation schemes are demonstrated to provide a performance close to the ideal case without RF impairments. Show less