scholarly journals Review on lightweight hardware architectures for the crypt-analytics in FPGA

2018 ◽  
Vol 7 (3) ◽  
pp. 1888
Author(s):  
Sunitha Tappari ◽  
K. Sridevi
Keyword(s):  
Wireless Sensor Networks ◽  
Internet Of Things ◽  
Comparative Study ◽  
Vital Role ◽  
Environmental Security ◽  
Wireless Sensor ◽  
Memory Requirement ◽  
Military Health ◽  
Hardware Architectures ◽  
The Comparative Study

Internet of Things (IoT) plays a vital role in the Wireless sensor networks (WSNs), which is used for many applications, such as military, health, and environmental. Security is the major concern and it is very difficult to achieve because of a different kind of attack in the network. In recent years, many authors have introduced different Hardware Architectures to solve these security problems. This paper has discussed about a review of various Hardware Architectures for the lightweight Crypt-analytics methods and the comparative learning of various Crypt-analytics and authentication systems carried out. The comparative study result showed that the lightweight algorithms have good per-formance compared to the conventional Crypt-analytics algorithm in terms of memory requirement, operations, and power consumption. 

scholarly journals A COMPREHENSIVE REVIEW OF ENERGY-BASED ROUTING STRATEGIES FOR INTERNET OF THINGS

2021 ◽  
Vol 9 (2) ◽  
pp. 1031-1044
Author(s):  
Srinivasulu M, Et. al.
Keyword(s):  
Wireless Sensor Networks ◽  
Internet Of Things ◽  
Network Lifetime ◽  
Routing Protocols ◽  
Maximum Energy ◽  
Vital Role ◽  
Wireless Sensor ◽  
Minimal Energy ◽  
Comprehensive Review

IoT is the acronym for Internet of Things acronym. At present IoT is a buzzword amongst academia, research and industry communities. Everything surrounded by us have developed abilities to communicate via the medium of internet. The Routing information plays a vital role in establishing communication between nodes in the space of IoT. Maximum energy of such connected nodes is consumed in the process of routing the packets. In this context optimizing the network lifetime with minimal energy consumption becomes important for efficient implementation of IoT infrastructure. This literature review is has the objective to identify the limitations existing in improving the network usability and thus enhance the network lifetime. The focus of this review is to consider various parameters like Quality of Service (QoS), efficient node deployment techniques, Network lifetime for Wireless Sensor Networks (WSN). A comprehensive and systematic study of Routing challenges encountered in an IoT network is accomplished. Further the performance of various energy routing protocols are studied.

scholarly journals Problems of Powering End Devices in Wireless Networks of the Internet of Things

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Wireless Sensor ◽  
Alternative Possibilities ◽  
The Internet ◽  
Power Sources ◽  
Wide Range ◽  
The Internet Of Things

This article presents the problems of powering wireless sensor networks operating in the structures of the Internet of Things (IoT). This issue was discussed on the example of a universal end node in IoT technology containing RFID (Radio Frequency Identification) tags. The basic methods of signal transmission in these types of networks are discussed and their impact on the basic requirements such as range, transmission speed, low energy consumption, and the maximum number of devices that can simultaneously operate in the network. The issue of low power consumption of devices used in IoT solutions is one of the main research objects. The analysis of possible communication protocols has shown that there is a possibility of effective optimization in this area. The wide range of power sources available on the market, used in nodes of wireless sensor networks, was compared. The alternative possibilities of powering the network nodes from Energy Harvesting (EH) generators are presented.

scholarly journals Congestion Detection Strategies in Wireless Sensor Networks: A Comparative Study with Testbed Experiments

2014 ◽  
Vol 37 ◽  
pp. 168-175 ◽  
Author(s):  
Mohamed Amine Kafi ◽  
Djamel Djenouri ◽  
Jalel Ben Othman ◽  
Abdelraouf Ouadjaout ◽  
Nadjib Badache
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Comparative Study ◽  
Wireless Sensor ◽  
Congestion Detection ◽  
Testbed Experiments ◽  
Detection Strategies

scholarly journals A Novel Bioinspired Multiobjective Optimization Algorithm for Designing Wireless Sensor Networks in the Internet of Things

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Jun Huang ◽  
Liqian Xu ◽  
Cong-cong Xing ◽  
Qiang Duan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Multiobjective Optimization ◽  
Optimization Algorithm ◽  
Chaotic Behavior ◽  
Ant Colony ◽  
Wireless Sensor ◽  
The Internet ◽  
The Internet Of Things

The design of wireless sensor networks (WSNs) in the Internet of Things (IoT) faces many new challenges that must be addressed through an optimization of multiple design objectives. Therefore, multiobjective optimization is an important research topic in this field. In this paper, we develop a new efficient multiobjective optimization algorithm based on the chaotic ant swarm (CAS). Unlike the ant colony optimization (ACO) algorithm, CAS takes advantage of both the chaotic behavior of a single ant and the self-organization behavior of the ant colony. We first describe the CAS and its nonlinear dynamic model and then extend it to a multiobjective optimizer. Specifically, we first adopt the concepts of “nondominated sorting” and “crowding distance” to allow the algorithm to obtain the true or near optimum. Next, we redefine the rule of “neighbor” selection for each individual (ant) to enable the algorithm to converge and to distribute the solutions evenly. Also, we collect the current best individuals within each generation and employ the “archive-based” approach to expedite the convergence of the algorithm. The numerical experiments show that the proposed algorithm outperforms two leading algorithms on most well-known test instances in terms of Generational Distance, Error Ratio, and Spacing.

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