Olufemi Adeluyi

The use of Fair Y-Sim for optimizing mapping set selection in hardware/software co-design

This paper proposes a new hardware/software partitioning and mapping procedure based on a Y-chart design approach for the partitioning of stream based real-time video signal processing algorithms. The approach of this paper is to ensure ldquofairnessrdquo in the hardware-software partitioning by increasing the capacity of application functions to become candidates for mapping cases through the iterative equalization of the execution times by sub-partitioning the functions with excessively long execution times. Then, a simulation tool called Fair Y-Sim (fairy-sim) is developed to streamline the mapping set to the best cases based on some pre-specified metrics. Our experimental results show that when this is done in tandem with the Heuristic Algorithm for Reducing Mapping Sets (HARMS) we can obtain a mapping set streamlining ratio of up to 4.83% of the best mapping cases, while eliminating 95.17% of the initial mapping set based on their throughput values.

SMiRA: A bio-inspired fault tolerant routing algorithm for MANETs

Spiral Millipede-inspired Routing Algorithm (SMiRA) is presented as a bio-inspired approach for routing in MANETs. It has been designed as a resource light technique that reduces routing overhead and improves the level of tolerance to routing faults, amongst other things. It has been compared to the Ad-hoc On-demand Distance Vector (AODV). The results show an improvement in the monitored metrics, with a limited penalty. SMiRA has an average of 40.77% reduction is routing overhead and an average of 41.85% reduction in fault-tolerance latency, with an average of 3.118 s increase in node computational latency as the main penalty for an extremely resource limited Mica mote.

PEARSH: A power efficient algorithm for raising sensor half-life with wireless battery recharge module

This paper presents a two-pronged approach to the perennial power constraint challenge faced by wireless sensor networks. The first is a Power Efficient Algorithm for Reducing Sensor Half-life (PEARSH), an algorithm that increases the lifespan of sensors through the efficient use of sensor battery power. The second is the insertion of a charging circuit connected to a proposed modified mica mote antenna to regularly charge the battery. This charger is based on a rectenna that harvests energy from the RF signals transmitted in the network. The sequential steps for the PEARSH process and the guiding rationale for each step are discussed. A proposed modified mica mote (m2-Mote) is also presented that incorporates the rectenna and dc-battery charger. Finally, energy analysis and simulation are carried out to highlight the gains of our technique. Our analysis show an increase in the lifespan of wireless sensor networks by a factor of up to 42% when compared with the best case of LEACH and 4.8 times better than when direct communication is used. Also, this increase can be even more substantial with the m2-mote and wireless battery charger option.

Medical Virtual Instrumentation for Ambient Assisted Living: Part 1 Concepts

Ambient Assisted Living has become a cost-effective option for coping with the rapid aging of society. Personalized health monitoring is an important aspect of Ambient Assisted Living, and it depends on the availability and use of appropriate medical devices. Medical virtual instruments provide a viable option for such devices. They refer to a hardware/software co-design of medical instruments that provides the dependability of hardware as well as the flexibility of software. In this paper, we discuss the concept of medical virtual instruments and their use as an effective option for Ambient Assisted Living. The discussion covers the enablers of this technology, the main challenges, and the hardware, software and connectivity options for such instruments.

Medical Virtual Instrumentation for Personalized Health Monitoring: A Systematic Review.

The rising cost of healthcare and the increased senior population are some reasons for the growing adoption of the Personalized Health Monitoring (PHM) systems. Medical Virtual Instruments (MVIs) provide portable, flexible, and low-cost options for these systems. Our systematic literature search covered the Cochrane Library, Web of Science, and MEDLINE databases, resulting in 915 articles, and 25 of which were selected for inclusion after a detailed screening process that involved five stages. The review sought to understand the key aspects regarding the use of MVIs for PHM, and we identified the main disease domains, sensors, platforms, algorithms, and communication protocols for such systems. We also identified the key challenges affecting the level of integration of MVIs into the global healthcare framework. The review shows that MVIs provide a good opportunity for the development of low cost personalized health systems that meet the unique instrumentation requirements for a given medical domain.

SAFE-points: a lightweight algorithm for analyzing remote mobile ECG signals

In this paper, we present our Select All Fiducially Essential points (SAFE-points) algorithm that uses ECG signal images as an approach for achieving highly efficient ECG signal analysis within a mobile environment at a fraction of the associated costs in terms of latency, memory and goodput. We were able to achieve latency, memory and goodput values of about 17%, 25% and 25% respectively when compared with our reference.

A Novel Algorithm for Maximizing the Lifetime of Sensor Networks and the Use of an m²-Mote to Refresh Battery Power On-the-Fly

In this paper we present a novel algorithm that significantly improves the efficiency of wireless sensor networks, while providing a low and stable energy consumption profile irrespective of the number of nodes. We also present a modified-mica Mote (m2-Mote) that uses a rectenna to produce dc-power from scavenged RF-energy for charging the node batteries. From our analysis and simulation of a 500node network with one sink node, we found that our approach results in 99% reduction in the amount of energy consumed with the addition of each new node to the sensor network when compared with LEACH. Similarly, it doubles the average lifespan of LEACH based networks and gives more than five times the average lifetime of networks based on direct communication.

Medical Virtual Instrumentation for Ambient Assisted Living: Part 2 Practice and Case Studies:

In this article, we discuss how medical virtual instruments are used for ambient assisted living technologies. Ambient assisted living technologies enable seniors to age well in the comfort of their homes. Case studies are used to describe some ways that medical virtual instruments are being used to support ambient assisted living in the key disease domains of cardiovascular, neurologic, hormonal and musculoskeletal health. The article also discusses the open research issues and future perspectives relating to the use of medical virtual instruments in these domains.