M. Moid Sandhu

M. Moid Sandhu
The Commonwealth Scientific and Industrial Research Organisation | CSIRO · Health and Biosecurity

Doctor of Philosophy

About

20
Publications
5,242
Reads
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404
Citations
Introduction
I am a Post-doctorate fellow at the Australian e-Health Research Centre, CSIRO. Previously, I completed PhD from the University of Queensland in 2022. My research interests include wearable devices, machine learning, sensor networks, energy harvesting, batterlyess sensors, and context detection. Currently, I am working on smart home solutions for the independent, secure and healthy life of the elderly.
Additional affiliations
September 2018 - June 2022
The Commonwealth Scientific and Industrial Research Organisation
Position
  • PhD Student
April 2016 - September 2018
University of Engineering and Technology, Lahore
Position
  • Lecturer
June 2015 - April 2017
Imperial College of Business Studies (ICBS)
Position
  • Lecturer
Education
October 2018 - June 2022
The University of Queensland
Field of study
  • Information Technology and Electrical Engineering
September 2012 - November 2014
COMSATS University Islamabad
Field of study
  • Electrical Engineering
September 2007 - November 2011
Government College University, Lahore
Field of study
  • Electrical Engineering

Publications

Publications (20)
Article
Full-text available
The Internet of Things (IoT) has important applications in our daily lives including health and fitness tracking, environmental monitoring and transportation. However, sensor nodes in IoT suffer from the limited lifetime of batteries resulting from their finite energy availability. A promising solution is to harvest energy from environmental source...
Conference Paper
Full-text available
The high power consumption of inertial activity sensors limits the battery lifetime of today's wearable devices. Recent studies promise to extend the lifetime of wearable devices by translating kinetic energy from human movements into electrical energy while using the harvesting signal to replace conventional activity sensors. However, in human-cen...
Preprint
Full-text available
Traditional Internet of Things (IoT) sensors rely on batteries that need to be replaced or recharged frequently which impedes their pervasive deployment. A promising alternative is to employ energy harvesters that convert the environmental energy into electrical energy. Kinetic Energy Harvesting (KEH) converts the ambient motion/vibration energy in...
Preprint
Full-text available
Conventional systems for motion context detection rely on batteries to provide the energy required for sampling a motion sensor. Batteries, however, have limited capacity and, once depleted, have to be replaced or recharged. Kinetic Energy Harvesting (KEH) allows to convert ambient motion and vibration into usable electricity and can enable battery...
Conference Paper
Conventional systems for motion context detection rely on batteries to provide the energy required for sampling a motion sensor. Batteries, however, have limited capacity and, once depleted, have to be replaced or recharged. Kinetic Energy Harvesting (KEH) allows to convert ambient motion and vibration into usable electricity and can enable battery...
Conference Paper
Traditional Internet of Things (IoT) sensors rely on batteries that need to be replaced or recharged frequently which impedes their pervasive deployment. A promising alternative is to employ energy harvesters that convert the environmental energy into electrical energy. Kinetic Energy Harvesting (KEH) converts the ambient motion/vibration energy in...
Thesis
Full-text available
In recent years, Wireless Body Area Networks (WBANs) have achieved significant attention due to their potential applications in health care. In these networks, mobility models of human body and routing protocols largely affect the network lifetime. In this thesis, our main contribution is the proposition of a mobility model for the analysis of mobi...
Conference Paper
Wireless Body Area Networks (WBANs) are getting growing interest because of their suitability for wide range of medical and non-medical applications. These applications demand WBAN to stay functional for a longer time which requires energy-efficient operation. In this paper, we propose a new routing protocol for Balanced Energy Consumption (BEC) in...
Article
Sensor networks feature low-cost sensor devices with wireless network capability, limited transmit power, resource constraints and limited battery energy. Usage of cheap and small-sized wireless sensors allow very large networks to be deployed at a feasible cost to provide a bridge between information systems and the physical world. Cooperative rou...
Article
Full-text available
In Underwater Acoustic Sensor Networks (UASNs), fundamental difference between operational methodologies of routing schemes arises due to the requirement of time-critical applications therefore, there is a need for the design of delay-sensitive techniques. In this paper, Delay-Sensitive Depth-Based Routing (DSDBR), Delay-Sensitive Energy Efficient...
Article
Full-text available
This paper presents two new chain formation based routing protocols: Multi Chain Energy Efficient Greedy (MCEEG) routing and Hop Adjusted MCEEG (HA-MCEEG). The MCEEG protocol divides network area into rectangular subareas of equal size, such that each one contains equal number of randomly deployed nodes. In each rectangular subarea, minimum distanc...
Conference Paper
Energy efficient routing is important for increasing the lifetime of Wireless Body Area Networks (WBANs). Uniform load distribution is necessary for reliable and long term moni-toring of patients in WBANs. In this paper, we propose Reliable Energy Efficient Critical data routing in WBANs (REEC). We deploy eight nodes and a sink on the human body. T...
Article
Full-text available
Mobility models play a vital role on the performance accuracy of simulations in Wireless Body Area Networks (WBANs). In this article, we propose a mobility model for the movement of nodes according to the posture patterns formed either because of psychological stress or any kind of mobility. During routine activities, body exhibits different postur...
Conference Paper
Full-text available
In this paper, we propose a reliable, energy efficient and high throughput routing protocol for Wireless Body Area Networks (WBANs). In Forwarding Data Energy Efficiently with Load Balancing in Wireless Body Area Networks (FEEL), a forwarder node is incorporated which reduces the transmission distance between sender and receiver to save energy of o...
Conference Paper
Mobility models play a vital role on the accuracy of simulations in Wireless Body Area Networks (WBANs). In this paper, we propose a mobility model for the movement of nodes placed on the human body. During routine activities, body exhibits different postures like standing, sitting, laying, etc. We form a mathematical model for the movement of node...
Article
Performance evaluation of Wireless Body Area Networks (WBANs) is primarily conducted in terms of simulation based studies. From this perspective, recent research has focused on channel modeling, and energy conservation at Network/MAC layer. Most of these studies ignore collaborative learning and path loss. In this paper, we present Link-Aware and E...
Article
Full-text available
In this paper, we propose Regional Energy Efficient Cluster Heads based on Maximum Energy (REECH-ME) Routing Protocol for Wireless Sensor Networks (WSNs). The main purpose of this protocol is to improve the network lifetime and particularly the stability period of the network. In REECH-ME, the node with the maximum energy in a region becomes Cluste...
Article
Increased use of Wireless sensor Networks (WSNs) in variety of applications has enabled the designers to create autonomous sensors, which can be deployed randomly, without human supervision, for the purpose of sensing and communicating valuable data. Many energy-efficient routing protocols are designed for WSNs based on clustering structure. In thi...

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