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The number of wearable wireless sensors is expected to grow to 400 million by the year 2014, while the number of operational mobile subscribers has already passed the 5.2 billion mark in 2011. This growth results in an increasing number of mobile applications including: Machine-to-Machine (M2M) communications, Electronic-Health (eHealth), and Mobile-Health (mHealth). A number of emerging mobile applications that require 3G and 4G mobile networks for data transport relate to telemedicine, including establishing, maintaining, and transmitting health-related information, research, education, and training. This review paper takes a closer look at these applications, specifically with regard to the healthcare industry and their underlying link technologies. The authors believe that the BlackBerry platform and the associated infrastructure (i.e., BlackBerry Enterprise Server) is a logical and practical solution for eHealth, mHealth, sensor and M2M deployments, which are considered in this paper.

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Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (p = 0.002), eating behaviours (p < 0.001) and dietary intake pattern (p < 0.001), decreased mean body weight (p = 0.008), mean Body Mass Index (BMI) (p = 0.002) and mean waist circumference (p < 0.001). App intervention assisted in decreasing the stress levels (paired t-test = 3.18; p < 0.05). Among cancer patients, we observed a high acceptance of technology (76%) and a moderately positive correlation between non-invasive electronic monitoring data and questionnaire (r = 0.6, p < 0.0001). We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease. Our findings provide insights into critical issues, including technology acceptance along with regulatory guidelines to be considered when designing, developing, and deploying smartphone solutions targeted for chronic patients.

Mobile ad hoc networks (MANETs) pose particular challenges in terms of Quality of Service (QoS) andperformance. This is due to the effect of numerous parameters such as; bandwidth and power constrains, delays, security issues, etc. On the there hand, the degree of freedom enables the wireless mobile nodes to enter and leave the network dynamically. The latter offers redundant paths and dynamic coverage. Particular attention is given to the multipath transmission capability as well as load balancing to have efficient routing possible for heavy multimedia traffics. In this paper, the issues of multipath routing in MANETs are surveyed and performances of such MANETs are compared to discuss the application of multipath routing and its effects on different layers to support QoS.

A common occurrence in almost all full-scale natural disasters is the rapid destruction of the telecommunication infrastructure as the inevitable unfolds, which tends to halt the necessary communications between the humanitarian operators and the people in need. In such scenarios, the deployment of wireless networks would provide fast and temporary remedies, however these networks normally do not provide services to the end-users and ordinary people, instead they provide connectivity between groups of end-users administered by a local service provider. From a range of services provided to the end-users by the humanitarian operators, healthcare is by far the top priority. This is considered through the utilization of smartphones in a Mobile Health (mHealth) perspective, which is an emerging concept for monitoring and tracking end-user health conditions. This article considers an mHealth system used in a tsunami-stricken disaster scenario, including a discussion on the most recent advances of Device to Device (D2D) and LTE-Direct technologies.The future of wireless and cellular disaster recovery systems is expected to rely heavily on direct Device-to-Device (D to D) communication, eliminating the need of the functioning telecommunication infrastructure. Reference [11] has identified the following 7 key technology goals for future public disaster recovery systems: LTE-based communication systems, resource sharing mechanisms, hierarchical dispatch-chain, unified voice/data/video communication channels, integrated security, privacy, and reliability, scalability and system reconfiguration, and real-time low-latency communication responses. These goals will be coupled with Wireless Body Area Network (WBAN)

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Sensor and electronic-health networks are widely utilized at home and in industry/research applications. In a local sense, a sensor-to-sensor network can have a range of a few meters to a couple of hundred meters (ZigBee Pro can extend this range up to 2000 m). With the deployment of mobile technology in the healthcare space (mobile-Health 'm-Health') and using cellular coverage, the range can virtually be unbounded. However, supporting bounded delay (end-to-end delay), class of service, and quality of service for critical sensor-mHealth applications may become challenging. This challenge can be alarmingly extended when thousands of users run their sensor-mHealth applications simultaneously and depend on limited coverage of the cell tower to transmit their health-related data across. In this paper we will discuss how the 3rd Generation Partnership Project-Long Term Evolution networks can address such aggregation issues, and discuss the challenges and provide recommendations.