I Want a help in doing research paper to build an architecture for smart fog gateway. The components should include Data filtering and fusion Data compression security, alert notification , and local storage as this paper “Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: 

A fog computing approach” the architecture should have Mobile agent which collect data from cloud in case of emergency also it should have a priority queue so that I will analyse the patient with serious conditions frist in case of congestion. Also you should not copy from internet and share my topic because I will publish it. The scenario is I get the data from sensors and it goes to priority queue which will have initial priority and will be updated after analyzing the data then it send data to data filtering then data fusion then to data analysts if I get critical situation it will notify doctor through alarm and send Mobile agent to Collect information from cloud the process will continue by data compression and encryption and the data will be stored in local storage to be sent in its priority U should draw architecture for the system and data flow for the above scenario and u should use my references correctly this time if I do not get the desired result I'll complain It should like a ieee style (start from abstract to conclusion)and u should write after each paragraph the reference from what I provided 1-Explain the research topic by reviewing previous work. You need to write about each one of my references in one or two paragraph 2. Comparing the benefits of using fog architecture over the cloud architecture in healthcare environment. 3. Propose an enhanced architecture for fog computing for healthcare system( as I mentioned above) and u should draw the architecture and draw the data flow of the designed architecture 4. Explain the detailed design of the system. 5. Evaluate the proposed architecture. 6- It should look like a publishable research paper and it should be perfectly structured ( starting from abstract to conclusion) 

7- The length should be around 4200 words with ieee style references you (((((must))))use : Exploiting smart e-Health gateways at the edge of healthcare Fog Computing in Healthcare—A Review and Discussion Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare Smart Items, Fog and Cloud Computing as Enablers of Servitization in Healthcare Fog-Based Healthcare Architecture for Wearable Body Area Network Fog Computing: Principles, Architectures, and Applications Integrating IoT and Fog Computing for Healthcare Service Delivery Internet-of-Things: A fog computing approach. It is for using fog gateway for healthcare system

Abstract

In the area of healthcare, IoT devices and cloud play a major role in ubiquitous service delivery. However, in the case when data is distributed across multiple locations and low-latency is a critical requirement, cloud data processing does not fulfill this requirement. Also, centralized cloud servers do not have the capacity to manage large data flow velocity in real-time. In addition to this, IoT devices in healthcare applications generate large volumes of data ubiquitously thus posing a challenge to cloud. Hence, solutions are needed to capture, process and store data in real time without loss. Fog computing paradigms have the potential to overcome these challenges. Fog computing systems have capabilities to aggregating data from IoT clusters and transfer them to cloud for further analysis. The report proposes a fog gateway design to provide capabilities for bringing computation closer to the sensor networks and also efficiently interface with the clouds. Architecture for fog gateway is proposed for its implementation in a healthcare environment. The proposed architecture will show the data flow between a mobile agent and the cloud and raises an alarm when the patient is facing serious health issue or an emergency condition. The gateway will prioritize data for a patient with critical conditions by introducing a priority queue module which allows the system to learn from historical patient data. The report will discuss all these aspects by show in the data flow in the proposed fog gateway.

Introduction

The recent technology developments namely, internet of things (IoT) or smart electronic devices have become a part of daily life and to support people in advancing the quality of life. IoT refers a large number of devices with network capability, called as things. Some examples of IoT are wireless sensors, smartphone, and mobile devices which have the ability to connect, generate data and interact remotely with other systems or devices and with people. IoT plays a large role in healthcare because of its ability to provide treatment support for patients away from hospitals, support patients in self-managing on their own, and in receiving support during an emergency in their mobile device. The use of IoT in emergency care, patient monitoring, and remote treatment is used widely but there are limitations in these devices. For instance, sensor or mobile devices have limitations in processing and storage capacities and hence they may not be able to deal with huge amount of data. IoT poses the challenge related to interoperability, availability of resource and data exchange, security and privacy. These challenges related to limitations in IoT devices are addressed well by cloud computing models which provide adequate bandwidth, storage and compute resources [1]. 

IoT devices are loosely connected with heterogeneous networks. Some predictions claim that currently healthcare is available as a hospital-centered service, but can be transformed first as hospital-home service and culminate as home-centered service by 2030s [2]. This implies patients can avail healthcare services from their homes enabled by IoT. IoT healthcare environments need capacities for handling big stream data and real-time analysis for decision making. Presently, the network infrastructures aggregate data collected from IoT devices and this data are sent as an uplink to cloud servers for processing and storage. This fulfills the need for centralized data store and fulfills the need for processing big data. 

When data is distributed and when low-latency is an essential requirement, data processing in cloud servers do not fulfil this requirement [3]. In addition to low-latency, centralized cloud servers do not have the ability to handle large flow velocity in real-time. Also, many users have concerns related to privacy of data and hence do not prefer cloud data centers to store and analyze data. IoT devices in healthcare applications generate large volumes of data ubiquitously which need solutions that capture, process and store in real time without data loss [4]. Hence due to these requirements and to overcome constraints in clouds, an alternative paradigm or systems with capabilities to bring computation closer to the sensor networks than to the clouds is developed. These systems are known as edge devices and are deployed in the edge of the network to fulfill the purpose of aggregating data and transmit them to clouds for analysis [5]. Thus, fog computing paradigm emerged as an extension of clouds to facilitate compute, network and storage services between IoT end devices and cloud data center [6]. Fog computing involves the deployment of fog gateways or routers or dedicated devices with components for applications that run on both – the cloud and the edge devices, sensors, mobile, and so on. Fog gateways enable cloud integration, distributed data analysis and provides an interface for heterogeneous data streams which require low latency in a wide environment with dense geographical distribution [7].

(Some parts of the solution has been blurred due to privacy protection policy)