scholarly journals Deep Reinforcement Learning-Based Multi-Hop State-Aware Routing Strategy for Wireless Sensor Networks

2021 ◽  
Vol 11 (10) ◽  
pp. 4436
Author(s):  
Aiqi Zhang ◽  
Meiyi Sun ◽  
Jiaqi Wang ◽  
Zhiyi Li ◽  
Yanbo Cheng ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Learning Technology ◽  
Traffic Distribution ◽  
Current State ◽  
Routing Strategy ◽  
Policy Gradient ◽  
Routing Technology ◽  
The Internet Of Things

With the development of wireless sensor network technology, the routing strategy has important significance in the Internet of Things. An efficient routing strategy is one of the fundamental technologies to ensure the correct and fast transmission of wireless sensor networks. In this paper, we study how to combine deep learning technology with routing technology to propose an efficient routing strategy to cope with network topology changes. First, we use the recurrent neural network combined with the deep deterministic policy gradient method to predict the network traffic distribution. Second, the multi-hop node state is considered as the input of a double deep Q network. Therefore, the nodes can make routing decisions according to the current state of the network. Multi-hop state-aware routing strategy based on traffic flow forecasting (MHSA-TFF) is proposed. Simulation results show that the MHSA-TFF can improve transmission delay, average routing length, and energy efficiency.

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 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.

Applications of Wireless Sensor Networks in Healthcare

2020 ◽  
pp. 8-40 ◽  
Author(s):  
Ramgopal Kashyap
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Healthcare Delivery ◽  
Wireless Sensor ◽  
Infrastructure Development ◽  
Development Costs ◽  
Primary Element ◽  
Current Location ◽  
The Individual ◽  
The Internet Of Things

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.

Securing Over-the-Air Code Updates in Wireless Sensor Networks

2019 ◽  
pp. 302-328
Author(s):  
Christian Wittke ◽  
Kai Lehniger ◽  
Stefan Weidling ◽  
Mario Schoelzel
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Wireless Devices ◽  
Security Vulnerabilities ◽  
Iot Security ◽  
Software Bugs ◽  
Security Issues ◽  
The Right ◽  
The Internet Of Things

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.

scholarly journals Research on LEACH-Based Wireless Sensor Network Routing

2019 ◽  
Vol 25 ◽  
pp. 01011
Author(s):  
Junke Lv
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Routing Algorithm ◽  
Network Routing ◽  
Wireless Sensor ◽  
Practical Significance ◽  
Routing Optimization ◽  
Leach Protocol ◽  
Routing Technology

Routing technology is one of the main supporting technologies of wireless sensor networks. Only by using routing algorithm reasonably or finding better routing optimization algorithm, can the function of wireless sensor networks be maximized. Therefore, the research of routing technology for wireless sensor networks has important theoretical and practical significance. Based on the analysis of existing routing protocols in wireless sensor networks, this paper focuses on LEACH protocol.

scholarly journals Autonomous Load Regulation Based Energy Balanced Routing in Rechargeable Wireless Sensor Networks

2019 ◽  
Vol 9 (16) ◽  
pp. 3251 ◽  
Author(s):  
Runze Wu ◽  
Haobo Guo ◽  
Liangrui Tang ◽  
Bing Fan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Wireless Sensor ◽  
Regulation Mechanism ◽  
Wireless Charging ◽  
Routing Strategy ◽  
Load Regulation ◽  
Energy Balanced Routing ◽  
Balancing Efficiency

Recent progress in wireless charging technologies has greatly promoted the development of rechargeable wireless sensor networks (RWSN). The network lifetime of RWSN can be commonly extended through routing strategy and wireless charging technology. However, the node accepts the relay request of its neighbor unconditionally, and it cannot remove its overload on its own in a timely manner in traditional routing strategies. The energy balancing efficiency of the network may be limited by this passive mechanism, which poses a great challenge to obtaining optimal joint efficiency of routing and charging strategies. In this paper, we propose an autonomous load regulation mechanism-based energy balanced routing algorithm (ALRMR) for RWSN. In addition to an efficient framework of joint wireless energy transfer and multi-hop routing where the routing strategy is adapted to the charging scheme, an innovative load regulation mechanism is proposed. Under this mechanism, each node can actively adjust its own load by controlling its relay radius. The simulation demonstrates the advantages of our algorithm for energy balance efficiency and improving the network lifetime through the charging scheme and the innovative mechanism.

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