Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption

In the last few years, the wireless body area network (WBAN) has emerged as an appealing and viable option in the e-health application domain. WBAN technology is primarily used to offer continuous screening of health data to patients, independent of their location, time, or activity. A WBAN, on the other hand, is vulnerable to different cyberattacks due to the openness of the wireless environment and the privacy of people’s physiological data. A highly efficient and secure cryptographic scheme that can fulfill the needs of resource-constrained WBAN sensors and devices is considered necessary. First, we take a look at the most up-to-date security solutions for WBANs. Then, we go through some of the underlying concerns and challenges with WBAN security. We propose a new framework called secure channel free certificateless signcryption scheme for WBANs based on a hyperelliptic curve that can meet security requirements such as confidentiality, anonymity, integrity, resistance against unauthorized users, unforgeability, public verifiability, forward secrecy, and antireplay attack, all of which can be achieved with low computation and communication costs. The computation cost of the proposed scheme is 3.36 ms, which is much better than its counterpart schemes.

A reinforcement learning-based computing offloading and resource allocation scheme in F-RAN

This paper investigates a computing offloading policy and the allocation of computational resource for multiple user equipments (UEs) in device-to-device (D2D)-aided fog radio access networks (F-RANs). Concerning the dynamically changing wireless environment where the channel state information (CSI) is difficult to predict and know exactly, we formulate the problem of task offloading and resource optimization as a mixed-integer nonlinear programming problem to maximize the total utility of all UEs. Concerning the non-convex property of the formulated problem, we decouple the original problem into two phases to solve. Firstly, a centralized deep reinforcement learning (DRL) algorithm called dueling deep Q-network (DDQN) is utilized to obtain the most suitable offloading mode for each UE. Particularly, to reduce the complexity of the proposed offloading scheme-based DDQN algorithm, a pre-processing procedure is adopted. Then, a distributed deep Q-network (DQN) algorithm based on the training result of the DDQN algorithm is further proposed to allocate the appropriate computational resource for each UE. Combining these two phases, the optimal offloading policy and resource allocation for each UE are finally achieved. Simulation results demonstrate the performance gains of the proposed scheme compared with other existing baseline schemes.

Survey on Opportunistic Routing Protocols in Multihop Wireless Networks

Routing is portrayed as one of the most important prevailing challenges in research with reference to multi-hop networks in a wireless environment. Opportunistic routing (OR) protocol is an emerging area related to research, due to the improvement in communication reliability, compared to the traditional routing models. The major perception related to OR is to determine a group of neighboring node candidates, named as a candidate set using the advantages of broadcast capability of the wireless medium thereby to collaboratively transmit data packets towards the destination using the coordination of the forwarded candidate set. The design and performance of OR protocols over multi-hop wireless networks mainly depend on the processes of forwarding selection of candidates and assignment of priorities. Therefore, the researchers have designed and developed several different algorithms for those OR processes. In this paper, following a short outline on traditional routing and OR protocols, metrics involved in the design of existing OR protocols, classification of OR based protocols, and hurdles in the design of OR protocols over multi-hop wireless networks are examined. More precisely, the OR protocols are divided into two categories, based on the forwarding candidate set selection and forwarding candidate coordination methods. Furthermore, the most significant challenges of OR protocol design, such as prioritization of forwarding candidates, utilizing the cross-layer approach for candidate coordination, and achieving the quality of service also investigated.

An Improved K-Power Means Technique Using Minkowski Distance Metric and Dimension Weights for Clustering Wireless Multipaths in Indoor Channel Scenarios

Wireless multipath clustering is an important area in channel modeling, and an accurate channel model can lead to a reliable wireless environment. Finding the best technique in clustering wireless multipath is still challenging due to the radio channels’ time-variant characteristics. Several clustering techniques have been developed that offer an improved performance but only consider one or two parameters of the multipath components. This study improved the K-PowerMeans technique by incorporating weights or loads based on the principal component analysis and utilizing the Minkowski distance metric to replace the Euclidean distance. K-PowerMeans is one of the several methods in clustering wireless propagation multipaths and has been widely studied. This improved clustering technique was applied to the indoor datasets generated from the COST 2100 channel Model and considered the multipath components’ angular domains and their delay. The Jaccard index was used to determine the new method’s accuracy performance. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans.

RECONFIGURABLE INTELLIGENT SURFACES FOR WIRELESS COMMUNICATIONS: BEYOND 5G

The advancement in the technology has led to the tremendous variance in the 5G domain. Development in some of the physical layer technologies would help think beyond 5G. One such technology is Intelligent Reflecting Surfaces (IRS). IRS caters to focusing the reception of the signal, only to the intended receiver, without loss of power. This otherwise termed as beamforming. In this a new and vast dimension, the wireless environment, in which signal propagates, to be tuned, for reliable transmission. The paper deals about what are Intelligent Reflecting Surfaces, features, false ideas, and critical analysis of how IRS can be a part of future beyond 5G.

EMAS: Environment Monitoring and Smart Alert System for Internet of Things (IoT)

The emergence of wireless sensor networks has enabled new classes of application for distributed systems that filter into many inter disciplinary fields. In the recent years, wireless technology has come up with great advancements and is supposed to be a great venture for the researchers. The recent advancements open up many significant energy optimization techniques in Internet of Things. The smart systems can now achieve paramount level of control of user comfort while reducing use of energy. Our main purpose is to construct smart Environment Monitoring and Surveillance system (EMAS). The system periodically measures temperature, light and humidity levels of the atmosphere. When a critical change in the environmental variables is detected, the EMAS system can notify the user via text message on their cell phone. Thus, they will be able to act to critical changes as quickly as possible and it may be able to intercept effects of the critical change. Results are obtained in the field tests reasonably ensuring that the proposed EMAS system possess excellent package delivery high power efficiency. The main goal of this paper is to bring more robustness and enhanced features in the wireless environment monitoring system.

UAV Based Relay for Wireless Sensor Networks in 5G Systems

Relay is one of the most significant issues in smart industrial wireless sensor networks (WSN) due to the low transmitting power of sensors. By relay, the signals of sensors can be concentrated at the relay and further transmitted to the base station for decreasing energy consumption in the system. In the past decades, the relay in WSN is generally one super sensor with large transmitting power. However, the placement of the super sensor is static, which leads to the instability of performance in WSN under the time-varying wireless environment. Fortunately, unmanned aerial vehicles (UAV) can provide an effective leverage to improve the environment-adaptation in WSN compared to the static relay in WSN. In this paper, we employ UAV as the relay in WSN, which can move in three-dimensional space to possess a better position to minimize the system power consumption. We use a simple case study to demonstrate the effectiveness of UAV in WSN. Extended simulations are also given to verify the preferable performance of the UAV based relay in WSN.