An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks

Wireless sensor networks (WSNs) distribute hundreds to thousands of inexpensive micro-sensor nodes in their regions, and these nodes are important parts of Internet of Things (IoT). In WSN-assisted IoT, the nodes are resource constrained in many ways, such as storage resources, computing resources, energy resources, and so on. Robust routing protocols are required to maintain a long network lifetime and achieve higher energy utilization. In this paper, we propose a new energy-efficient centroid-based routing protocol (EECRP) for WSN-assisted IoT to improve the performance of the network. The proposed EECRP includes three key parts: a new distributed cluster formation technique that enables the self-organization of local nodes, a new series of algorithms for adapting clusters and rotating the cluster head based on the centroid position to evenly distribute the energy load among all sensor nodes, and a new mechanism to reduce the energy consumption for long-distance communications. In particular, the residual energy of nodes is considered in EECRP for calculating the centroid′s position. Our simulation results indicate that EECRP performs better than LEACH, LEACH-C, and GEEC. In addition, EECRP is suitable for networks that require a long lifetime and whose base station (BS) is located in the network.

An Efficient Centroid-Based Routing Protocol for Energy Management in WSN-Assisted IoT

Purpose: Decision support systems have become an indispensable tool for managing complex supply chains. This paper develops a multi-agent based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored. Design/methodology/approach: For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain agility are identified – responsiveness, flexibility and speed. Then the organisational design of the system is developed. The roles for each of the agents within the framework are defined and the interactions among these agents are modelled. Findings: Applications of the model are discussed, to show how the proposed model can potentially provide enhanced levels in each of the dimensions of supply chain agility. Research limitations/implications: The study shows how the multi-agent systems can assist to overcome the trade-off between supply chain agility and complexity of global supply chains. It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems. Practical implications: The proposed information system provides integrated capabilities for production, supply chain event and disruption risk management under a collaborative basis. Originality/value. A novel aspect in the design of multi-agent systems is introduced for inter-organisational processes, which incorporates semantic web information and a big data ontology in the agent society.

A Multi-Agent Based System with Big Data Processing for Enhanced Supply Chain Agility

Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of their sensor nodes. This is why energy conservation is considered as the most important research concern for WSNs. Radio communication is the utmost energy consuming function in a WSN. Thus, energy efficient routing is necessitated to save energy and thus prolong the lifetime of WSNs. For this reason, numerous protocols for energy efficient routing in WSNs have been proposed. This article offers an analytical and up to date survey on the protocols of this kind. The classic and modern protocols presented are categorized, depending on i) how the network is structured, ii) how data are exchanged, iii) whether location information is or not used, and iv) whether Quality of Service (QoS) or multiple paths are or not supported. In each distinct category, protocols are both described and compared in terms of specific performance metrics, while their advantages and disadvantages are discussed. Finally, the study findings are discussed, concluding remarks are drawn, and open research issues are indicated.

https://www.mdpi.com/1999-4893/13/3/72/pdf

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

3D wireless sensor network (3D-WSN) has attracted significant interests in recent years due to its applications in various disciplinary fields such as target detection, object tracking, and security surveillance. An important problem in 3D WSN is the sensor energy optimization which determines a topology of sensors to prolong the network lifetime and energy expenditure. The existing methods for dealing with this matter namely low energy adaptive clustering hierarchy, LEACH-centralized, K-Means, single hop clustering and energy efficient protocol, hybrid-LEACH and fuzzy C-means organize the networks into clusters where non-cluster head nodes mainly carry out sensing tasks and send the information to the cluster head, while cluster head collect data from other nodes and send to the base station (BS). Although these algorithms reduce the total energy consumption of the network, they also create a large number of network disconnect which refers to the number of sensors that cannot connect to its cluster head and the number of cluster heads that cannot connect to the BS. In this paper, we propose a method based on fuzzy clustering and particle swarm optimization to handle this problem. Experimental validation on real 3D datasets indicates that the proposed method is better than the existing methods.

Improving lifetime and network connections of 3D wireless sensor networks based on fuzzy clustering and particle swarm optimization

Wireless Sensor Network (WSN) are of paramount significance since they are responsible for maintaining the routes in the network, data forwarding, and ensuring reliable multi-hop communication. The main requirement of a wireless sensor network is to prolong network energy efficiency and lifetime. Researchers have developed protocols Low Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient Gathering in Sensor Information Systems (PEGASIS) for reducing energy consumption in the network. However, the existing routing protocols experience many shortcomings with respect to energy and power consumption. LEACH features the dynamicity but has limitations due to its cluster-based architecture, while PEGASIS overcomes the limitations of LEACH but lacks dynamicity. In this paper, we introduce PEGASIS-LEACH (P-LEACH), a near optimal cluster-based chain protocol that is an improvement over PEGASIS and LEACH both. This protocol uses an energy-efficient routing algorithm to transfer the data in WSN. To validate the energy effectiveness of P-LEACH, we simulate the performance using Network Simulator (NS2) and MATLAB.

P-LEACH: Energy efficient routing protocol for Wireless Sensor Networks

Wireless sensor networks are one of the fast growing technologies in communication field, because of their compact size and ability to work in rugged conditions where human reach is not possible. This paper discusses about H-LEACH, which is used to solve problems of energy considerations while electing a channel head. H-LEACH considers residual and maximum energy of nodes for every round while electing a channel head using threshold condition. H-LEACH is compared with LEACH and HEED protocol, and proved that it is efficient than both methods. Simulations for LEACH, HEED and H-LEACH are done using MATLAB.

H-LEACH: Hybrid-low energy adaptive clustering hierarchy for wireless sensor networks

Recently, an increasing number of cyber-attacks in the medical field has resulted in great losses in the health care industry, since medical information plays an essential role in human health. To introduce a comprehensive survey about possible cyber-attacks and solutions for these attacks, our paper first presents a brief overview of the necessary background of the dataflow in the medical domain and then identifies the vulnerabilities in each stage of the dataflow. Then, according to the weaknesses identified in the medical system, a classification of cyber-attacks is presented. Additionally, the paper presents research on previous work that focuses on solving these cyber-attacks and identifies the strengths and limitations of the solutions for each attack. More importantly, for data storage assurance, our paper discusses several cybersecurity architectures for the medical domain from the existing literature. The countermeasures from previous papers and architectures that are still weak in terms of resource depletion, attack reduction, applicability, etc. are addressed. Finally, the paper discusses and recommends solutions for future work to decrease cyber-attacks in the medical field so that human health can be guaranteed.

/pdf/survey-cybersecurity-vulnerabilities-attacks-and-solutions-1y2exvw26s.pdf

Survey: Cybersecurity Vulnerabilities, Attacks and Solutions in the Medical Domain

The purpose of this study is to overcome coordination flaws and enhance end-to-end security in the drug distribution market (DDM). One of the major issues in drug market coordination management is the absence of a centralized monitoring system to provide adequate market control and offer real-time prices, availability, and authentication data. Further, tampering is another serious issue affecting the DDM, and as a consequence, there is a significant global market for counterfeit drugs. This vast counterfeit drug business presents a security risk to the distribution system. This study presents a blockchain-based solution to challenges such as coordination failure, secure drug delivery, and pharmaceutical authenticity. To optimize the drug distribution process (DDP), a framework for drug distribution is presented. The proposed framework is evaluated using mathematical modeling and a real-life case study. According to our results, the proposed technique helps to maintain market equilibrium by guaranteeing that there is adequate demand while maintaining supply. Using the suggested framework, massive data created by the medication supply chain would be appropriately handled, allowing market forces to be better regulated and no manufactured shortages to inflate medicine prices. The proposed framework calls for the Drug Regulatory Authority (DRA) to authenticate users on blockchain and to monitor end-to-end DDP. Using the proposed framework, big data generated through drug supply chain will be properly managed; thus, market forces will be better controlled, and no artificial shortages will be generated to raise drug costs.

/pdf/securing-drug-distribution-systems-from-tampering-using-2g9nxqwa.pdf

Securing Drug Distribution Systems from Tampering Using Blockchain

Physical unclonable functions (PUFs) provide a unique signature based on the variations during the fabrication process of the integrated circuits. The additional features of controllability and reconfigurability to a PUF implementation enable the reuse of the existing hardware as a new modified PUF, enhancing the capabilities of a PUF for more versatile security applications. In this paper, a variable duty-cycle-based ring oscillator circuit is proposed as a controlled and reconfigurable PUF primitive. One of the distinguishing features of the proposed PUF is that duty cycle comparisons are used, instead of the conventional frequency comparisons to generate the output bit response. The advantages of the utilizing duty cycle over the conventional frequency-based comparisons are investigated. The feasibility of the proposed PUF is evaluated using existing figures of merit providing a uniqueness of 49.3%, temperature reliability greater than 92% between 0 and 100 °C, and supply voltage reliability greater than 96% between 0.9 and 1 V.

Fathi Amsaad

Papers

P-LEACH: Energy efficient routing protocol for Wireless Sensor Networks

H-LEACH: Hybrid-low energy adaptive clustering hierarchy for wireless sensor networks

Survey: Cybersecurity Vulnerabilities, Attacks and Solutions in the Medical Domain

Securing Drug Distribution Systems from Tampering Using Blockchain

Duty-Cycle-Based Controlled Physical Unclonable Function