scholarly journals An Optimized Relay Selection Technique to Improve the Communication Reliability in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3263 ◽  
Author(s):  
Suelen Laurindo ◽  
Ricardo Moraes ◽  
Ríad Nassiffe ◽  
Carlos Montez ◽  
Francisco Vasques

Wireless Sensor Networks (WSN) are enabler technologies for the implementation of the Internet of Things (IoT) concept. WSNs provide an adequate infrastructure for the last-link communication with smart objects. Nevertheless, the wireless communication medium being inherently unreliable, there is the need to increase its communication reliability. Techniques based on the use of cooperative communication concepts are one of the ways to achieve this target. Within cooperative communication techniques, nodes selected as relays transmit not only their own data, but also cooperate by retransmitting data from other nodes. A fundamental step to improve the communication reliability of WSNs is related to the use of efficient relay selection techniques. This paper proposes a relay selection technique based on multiple criteria to select the smallest number of relay nodes and, at the same time, to ensure an adequate operation of the network. Additionally, two relay updating schemes are also investigated, defining periodic and adaptive updating policies. The simulation results show that both proposed schemes, named Periodic Relay Selection and Adaptive Relay Selection, significantly improve the communication reliability of the network, when compared to other state-of-the-art relay selection schemes.

Information ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 184
Author(s):  
Suelen Laurindo ◽  
Ricardo Moraes ◽  
Carlos Montez ◽  
Francisco Vasques

This paper addresses the use of network coding algorithms combined with adequate retransmission techniques to improve the communication reliability of Wireless Sensor Networks (WSN). Basically, we assess the recently proposed Optimized Relay Selection Technique (ORST) operating together with four different retransmission techniques, three of them applying network coding algorithms. The target of this assessment is to analyze the impact upon the communication reliability from each of the proposed retransmission techniques for WSN applications. In addition, this paper presents an extensive state-of-the-art study in what concerns the use of network coding techniques in the WSN context. The initial assumption of this research work was that the ORST operating together network coding would improve the communication reliability of WNS. However, the simulation assessment highlighted that, when using the ORST technique, retransmission without network coding is the better solution.


Computers ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Abdullah Al Hayajneh ◽  
Md Zakirul Alam Bhuiyan ◽  
Ian McAndrew

This paper builds upon the foundation and clarifies specifications for a necessary security protocol in Wireless Sensor Networks (WSNs) with cooperative communications. It is designed to enhance performance and resiliency against cyber-attacks. Recent literature has shown that developing a WSN with Cooperative Communication greatly increases the performance of the network, but also exposes new vulnerabilities. The technique operates by transmitting packets of data to neighboring relay nodes in a cooperative fashion to reach the destination. In this paper, we consider security issues in WSNs with cooperative communication on each layer of the OSI model: physical layer, data link layer, network layer, service (topology) layer, and application layer. For each layer, we clarify the main task, enumerate the main attacks and threats, specify the primary security approaches and techniques (if any), and discuss possible new attacks and problems that may arise with the use of cooperative communications. Furthermore, we show for some attacks (e.g., jamming, packet dropping, and wormhole) that using cooperative communication improves the network resiliency and reliability. Finally, we propose a security protocol that addresses many of these shortcomings, while outlining the remaining issues that need further work and research.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral

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.


2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Jun Huang ◽  
Liqian Xu ◽  
Cong-cong Xing ◽  
Qiang Duan

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.


Author(s):  
Ramgopal Kashyap

Health is the key capability humans require to perceive, feel, and act effectively, and as such, it represents a primary element in the development of the individual and the environment humans belong to. It is necessary to provide adequate ways and means to ensure the appropriate healthcare delivery based on parameter monitoring and directly providing medical assistance. Wireless sensor networks (WSNs), commonly known as the internet of things (IoT), enable a global approach to the healthcare system infrastructure development. This leads to an e-health system that, in real time, supplies a valuable set of information relevant to all of the stakeholders regardless of their current location. Economic systems in this area usually do not meet the general patient needs, and those that do are usually economically unacceptable due to the high operational and development costs. This chapter shows how recent advances in wireless networks and electronics have led to the emergence of WSNs in healthcare.


Author(s):  
Christian Wittke ◽  
Kai Lehniger ◽  
Stefan Weidling ◽  
Mario Schoelzel

With the growing number of wireless devices in the internet of things (IoT), maintenance and management of these devices has become a key issue. In particular, the ability to wirelessly update devices is a must in order to fix security issues and software bugs, or to extend firmware functionality. Code update mechanisms in wireless sensor networks (WSNs), a subset of IoT networks, must handle limited resources and strict constraints. Also, over-the-air (OTA) code updates in the context of an IoT ecosystem may open new security vulnerabilities. An IoT security framework should therefore be extended with additional mechanisms to secure the OTA code update functionality. The chapter presents an overview of various OTA code update techniques for WSNs and their security flaws along with some existing attacks and possible countermeasures. It is discussed which attacks can be used more easily with the code update functionality. Countermeasures are compared as to whether they secure the weakened security objectives, giving a guideline to choose the right combination of countermeasures.


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