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Journal of Sensor and Actuator Networks, Volume 11, Issue 1

March 2022 - 19 articles

Cover Story: IoT applications impose reliable and timely operation and connectivity between fixed and mobile “objects”, which is challenging since most of these devices tend to be resource-constrained due to scalability and cost limitations, i.e., most of these “objects” are expected to be equipped with low-cost and low-power processing and communication HW and operate in uncontrolled/harsh indoor or outdoor environments (e.g., obstacles, EMI, climate conditions). In this context, we present SDMob, a lightweight SDN-based mobility management architecture. A centralized SDN controller exploits its global view of the network to quickly re-adapt it upon topological changes. Analytical modeling and simulations show that SDMob outperforms the SOTA with minimal overhead, guaranteeing sub-meter localization accuracy under different mobility patterns and network topologies. View this paper
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Articles (19)

  • Review
  • Open Access
32 Citations
12,442 Views
23 Pages

With the outbreak of coronavirus disease-2019 (COVID-19) worldwide, developments in the medical field have aroused concerns within society. As science and technology develop, wearable medical sensors have become the main means of medical data acquisi...

  • Article
  • Open Access
113 Citations
8,505 Views
15 Pages

Due to the prompt expansion and development of intelligent systems and autonomous, energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and obstructed nearly all applications in our daily life. However, constraints in compu...

  • Review
  • Open Access
59 Citations
15,738 Views
18 Pages

Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence

  • Mudrakola Swapna,
  • Uma Maheswari Viswanadhula,
  • Rajanikanth Aluvalu,
  • Vijayakumar Vardharajan and
  • Ketan Kotecha

Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medica...

  • Article
  • Open Access
3,793 Views
10 Pages

This work uses piezoresistive matrix pressure sensors to map the human body’s pressure profile in a sleeping position. This study aims to detect the area with the highest pressure, to visualize the pressure profile into a heatmap, and to reduce...

  • Feature Paper
  • Article
  • Open Access
23 Citations
7,538 Views
22 Pages

The maintenance of critical infrastructure is a costly necessity that developing countries often struggle to deliver timely repairs. The transport system acts as the arteries of any economy in development, and the formation of potholes on roads can l...

  • Article
  • Open Access
7 Citations
5,850 Views
16 Pages

The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety systems that aim to identify critical events such as near-crash situations and traffic violations. In a connected environment, important information ab...

  • Article
  • Open Access
18 Citations
6,137 Views
14 Pages

This article presents an Artificial Intelligence (AI)-based infrastructure to reduce medication errors while following a treatment plan at home. The system, in particular, assists patients who have some cognitive disability. The AI-based system first...

  • Feature Paper
  • Article
  • Open Access
3,520 Views
17 Pages

This paper deals with a new robust control design for autonomous vehicles. The goal is to perform lane-keeping under various constraints, mainly unknown curvature and lateral wind force. To reach this goal, a new formulation of Parallel Distributed C...

  • Article
  • Open Access
13 Citations
3,220 Views
19 Pages

The vibration serviceability assessment of slender and/or lightweight pedestrian systems with high sensitivity to walk-induced effects is rather challenging. In the same way, laminated glass (LG) is used in buildings for structural applications but s...

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J. Sens. Actuator Netw. - ISSN 2224-2708