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In this study, a Novel architecture comprising a sink node is designed to minimize power consumption as well as improve quality of service (QoS) of wireless body area network (WBAN). Furthermore, in the quest to enhance the network lifetime and QoS, we utilized MAC protocol to classify the physiological attributes into normal and critical data. A routing protocol known as Efficient Energy and QoS (EEQ) algorithm is implemented to transmit the normal data through the shortest and appropriate route. According to the EEQ algorithm, the weight value is considered based on parameters such as network lifetime, link stability and throughput. The data is conveyed through the path having the highest weight value. However, the data is encrypted using RSA algorithm. In order to compare EEQ with other existing protocols, a number of simulations is executed on OMNet++ software to show that the proposed work outperforms other related research works.

Wireless Body Area Network (WBAN) is an important element of future smart healthcare services in smart cities. For this reason, many research works have been undergone in WBAN. The significant research issue in the WBAN environment is Quality of Service (QoS) provisioning. In literature, some of the works have been focused on QoS aspect of WBAN. However, they have only marginal impact due to ineffective network design and the usage of a single sink node. Also, most of the research works have been tested within a single BAN and present intra‐BAN communication. In practical, an effective multi‐BAN communication system is emerging due to the need of large‐scale healthcare system. This paper addresses these issues and designs a novel QoS‐aware Clustered Triad Layer (QC‐TriL) architecture for multi‐BAN environment. The novel QC‐TriL uses dual sink nodes in each BAN and both sinks are deployed in the optimal positions. To determine the optimal position, Type‐II Fuzzy Logic (T2FL) is proposed with different criteria. Next, we form clusters based on the positions of dual sink nodes. QC‐TriL adopts criticality‐aware routing by presenting Delay‐aware One‐Hop Transmission and Fused Rank Scheme (FuRank) for critical data and normal data routing respectively. The data transmission is organized by a novel 1D‐Dragonfly topology‐based Priority Dual TDMA (PD‐TDMA) scheduling protocol. Finally, multi‐BAN communication is enabled with an optimal route selected by QoS‐aware Emperor Penguin Colony (QoS‐EPC) algorithm. The QC‐TriL multi‐BAN environment is modeled in OMNeT++ simulator and evaluated in terms of energy consumption, packet delivery ratio, throughput, and delay. The experiments show promising results for the multi‐BAN environment.

4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025 2-s2.0-85097682695 As an innovative technology of the future, the Internet of Things (IoT) is expected to connect billions of users. Increased connectivity is expected to generate mountains of data and data protection can be a threat. Architectural tools, in principle, are smaller in size and low in strength. Due to their sophistication, traditional encryption algorithms are often computationally ineffective and require multiple rounds of coding, effectively wasting restricted device resources. But a less complex algorithm will jeopardize required honesty. In this article we propose a lightweight coding algorithm called Stable IoT (SIT). It is a 64-bit block encryption that requires a 64-bit key to encrypt data. Low complexity coding symmetry algorithm called Stable Power with Affine Shift. The coding component can be implemented using a simple syntax consisting of only basic mathematical operations (AND, OR, XOR, XNOR, SHIFTING, SWAPPING). This will help reduce the encoder, as the more complex key expansion method is only done in decryption. The purpose of this document is to conduct a security review and evaluate the performance of the proposed algorithm. The design of the algorithm is a combination of emotion and a unified switch-switch network. Simulation testing reveals that the algorithm provides adequate protection in only five rounds of encryption. The algorithm is hardware-implemented with a low-cost 8-bit microcontroller and the effects of code size, memory consumption, and encryption / decoding execution cycles are contrasted with reference encryption algorithms. © 2020 IEEE.

4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025 2-s2.0-85097680007 Ad-hoc vehicle networks (VANETs) have recently received a great deal of attention with promises to improve the safety and convenience of cars. However, the peculiar features and characteristics of VANETs made it very difficult to develop routing protocols. However, the literature proposes a wide range of routing protocols. In this paper we will evaluate the DSR and OLSR routing protocols in three scenarios by using the three performance metrics the overhead, Goodput and Packet receives rate. © 2020 IEEE.

2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 -- 26 June 2020 through 27 June 2020 -- -- 162106 2-s2.0-85089663481 Wireless Body Area Network (WBAN) is gaining significant popularity due to its applications in smart health. It facilitates efficient, cost-effective, ubiquitous, and unobtrusive remote e-health monitoring. Similar to other networks such as Wireless Sensor Network (WSN) and Ad-hoc Network, WBAN challenges include Postural Body Movement, Temperature Rise and Interference, Network Lifetime, and QoS. However, due to its stricter resource constrains in terms of transmit power and environmental requirement especially for nodes implanted in the body, an energy and Quality of Service aware routing protocol was developed in this paper. The algorithm decreases the frequent recharging and replacing of sensors nodes. The routing protocol works as follows: first, the sensor node senses the data and the data is classified into emergency, low-emergency and normal data by a Modified-MAC protocol referred to as M-MAC. Next, the emergency data is transmitted using single-hop transmission in order to deliver the data in on time, normal data is not transmitted so as to save energy and the low-emergency data is transmitted using another new developed algorithm called Weight-based optimal energy and QoS algorithm (W-QoS) which select the optimal route to send the data to the sink node. By enabling W-QoS to transmit low-emergency data, network lifetime and QoS is improved. This work is validated by comparing the network lifetime, delay and through to that of similar works, and our work outperforms all similar works. The performance was evaluated using OMNeT++ simulation environment. © 2020 IEEE.

4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025 2-s2.0-85097685181 The Mobile ad hoc networks are the networks that working without infastructure to coomuncation between the nodes in the networks and each node in this network as receiver and router in the same time to transsfer the packets from the soures to the destination. the mobillty of nodes are differents depend on the dynamic of the networks. in the paper we will evaluated the two protocols AODV and DSDV in three seniro then analysis the results with differents packet size in NS-3.19 © 2020 IEEE.

4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025 2-s2.0-85097677607 The purpose of this work was to get acquainted with wireless communication technologies and the information security challenges they create from the viewpoint of 5G and its preceding technologies. 5th Generation (5G) is becoming a global phenomenon and it is currently being implemented in dozens of countries around the globe with it comes new information security challenges. Potential solutions for the challenges are also offered. The outcome of this research is an overview of information security challenges in 5G using Low-power wireless personal area Network (LPWAN) and in the technologies preceding 5G. Possible information security solutions are presented in this work for the new technologies coming with 5G. This work showed that the new technologies coming with 5G, such as the virtualization of hardware and services as well as the utilization of cloud computing, create completely new areas of attack for networks. With this knowledge, Labelled and Freely Available Dataset from Open-Source Repository will be used and it is possible to prevent attacks targeting networks by implementing necessary information security elements. For the training, testing and validation of our dataset which is an IoT and cyber-security based dataset, a well-known MATLAB R2019a software was used for this purpose. The proposed reinforcement learning algorithm for Securing 5G network is designed for mesh topology from the ground up by the model of the network itself using low power personal area networks. We model the network operating in a finite area with a finite number of nodes distributed inside the area randomly in this algorithm. Hence, we defined the service area of the target network by assuming the finiteness of the network in the model. © 2020 IEEE.

6th International Engineering Conference "Sustainable Technology and Development", IEC 2020 -- 26 February 2020 through 27 February 2020 -- -- 161417 2-s2.0-85087699053 Wireless Body Area Network (WBAN) is a subset of Wireless Sensor Network (WSN) whereby invasive, non-invasive, low-cost and miniature sensors are used to measure the vital signs of a person to detect chronic diseases in their early stages before symptoms begin to appear. One of the major challenges is the network lifetime and QoS due to limited resources, hence in this paper, an architecture with a single sink node is developed in order to improve the energy management and QoS of the (WBAN). Furthermore, as part of the effort to further improve the network lifetime and QoS, an algorithm which classifies the sensed data into normal, high-normal and critical is developed using MAC protocol. Also, another algorithm called Weighted Energy and QoS (WEQ) algorithm is developed to select the optimal path to transmit the normal and high normal data. In the WEQ, the weight value is computed by considering metrics such as delay, residual energy, link stability, and distance. The route with the highest weight value is selected and the data is transmitted on that route. Extensive simulation is performed on OMNe++ to demonstrate that our work significantly outperforms that of similar works in terms of network lifetime and throughput. © 2020 IEEE.

2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020 -- 26 June 2020 through 27 June 2020 -- -- 162106 2-s2.0-85089659600 In today's age of wireless communication, Wireless Body Area Network (WBAN) which is an extension of the conventional Wireless Sensor Network (WSN) is attracting immense interest in academia as well as industry. This is due to its importance in providing smart heath care service. One of the major research issues are Quality-of-Service (QoS) provision and energy efficiency improvement. Since sensor nodes are highly resource constrained in terms of battery and it is impractical to recharge and replace them, it is imperative to develop techniques/routing protocols or other solutions in other to augment the battery life. For that reason, NEAT routing algorithm which is an improvement on RE-ATTMPT and CEMob protocols is proposed in this paper. NEAT prioritize data into low-emergency, high-emergency and regular-data. Unlike similar protocols, NEAT ignores the communication of regular-data and transmit high-emergency data via direct communication and low-emergency data is compared with the formerly sensed low-emergency data and if it is different, it is transmitted, otherwise it is not transmitted thus leading to significant energy saving. Simulation results obtained by MATLAB prove that NEAT protocol outperforms RE-ATTMPT and CEMob in terms of network lifetime and throughput. © 2020 IEEE.