454 research outputs found
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications
Wireless sensor networks monitor dynamic environments that change rapidly
over time. This dynamic behavior is either caused by external factors or
initiated by the system designers themselves. To adapt to such conditions,
sensor networks often adopt machine learning techniques to eliminate the need
for unnecessary redesign. Machine learning also inspires many practical
solutions that maximize resource utilization and prolong the lifespan of the
network. In this paper, we present an extensive literature review over the
period 2002-2013 of machine learning methods that were used to address common
issues in wireless sensor networks (WSNs). The advantages and disadvantages of
each proposed algorithm are evaluated against the corresponding problem. We
also provide a comparative guide to aid WSN designers in developing suitable
machine learning solutions for their specific application challenges.Comment: Accepted for publication in IEEE Communications Surveys and Tutorial
Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges
A wireless sensor network is a large collection of sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for wireless sensor networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for wireless sensor networks
A Review on Swarm Intelligence Based Routing Approaches
The principles of bio-inspired or swarm intelligence algorithms can be effectively used to achieve optimal solutions in routing for complex and dynamic wireless sensor networks or body area networks. As the name indicates, it is a field that is inspired by natural living beings like ants, bees, fishes, etc. Studies have proved that the routing protocols based on such bio-inspired methods perform better in terms of energy efficiency, reliability, adaptivity, scalability, and robustness. The general classification of routing protocols is classical-based and swarm-based routing protocols, where both the protocols were specifically categorized as data-centric, location-aware, hierarchical and network flow, and QoS aware protocols. In this paper, an evocative taxonomy and comparison of various swarm-based routing algorithms are presented. A brief discussion about the sensor network design and the major factors that influence the routing is also discussed. The comparative analysis of the selected swarm-based protocols is also done with respect to routing characteristics like query based, route selection, energy efficiency, and path selection. From the review, it is observed that the selection of a routing protocol is application dependent. This paper will be helpful to the researchers as a reference on bio-inspired algorithms for new protocol designs and also for the proper selection of routing protocols according to the type of applications
A Review on Swarm Intelligence Based Routing Approaches
The principles of bio-inspired or swarm intelligence algorithms can be effectively used to achieve optimal solutions in routing for complex and dynamic wireless sensor networks or body area networks. As the name indicates, it is a field that is inspired by natural living beings like ants, bees, fishes, etc. Studies have proved that the routing protocols based on such bio-inspired methods perform better in terms of energy efficiency, reliability, adaptivity, scalability, and robustness. The general classification of routing protocols is classical-based and swarm-based routing protocols, where both the protocols were specifically categorized as data-centric, location-aware, hierarchical and network flow, and QoS aware protocols. In this paper, an evocative taxonomy and comparison of various swarm-based routing algorithms are presented. A brief discussion about the sensor network design and the major factors that influence the routing is also discussed. The comparative analysis of the selected swarm-based protocols is also done with respect to routing characteristics like query based, route selection, energy efficiency, and path selection. From the review, it is observed that the selection of a routing protocol is application dependent. This paper will be helpful to the researchers as a reference on bio-inspired algorithms for new protocol designs and also for the proper selection of routing protocols according to the type of applications
Survey on Intrusion Detection System in Heterogeneous WSN Using Multipath Routing
Abstract: In this paper, we propose an survey on heterogeneous wireless sensor network (HWSN
Wireless Sensor Networks for Building Robotic Paths - A Survey of Problems and Restrictions
The conjugation of small nodes with sensing, communication and processing capabilities allows for the
creation of wireless sensor networks (WSNs). These networks can be deployed to measure a very wide
range of environmental phenomena and send data from remote locations back to users. They offer new and
exciting possibilities for applications and research. This paper presents the background of WSNs by firstly
exploring the different fields applications, with examples for each of these fields, then the challenges faced
by these networks in areas such as energy-efficiency, node localization, node deployment, limited storage
and routing. It aims at explaining each issue and giving solutions that have been proposed in the research
literature. Finally, the paper proposes a practical scenario of deploying a WSN by autonomous robot path
construction. The requirements for such a scenario and the open issues that can be tackled by it are
exposed, namely the issues of associated with measuring RSSI, the degree of autonomy of the robot and
connectivity restoration.The authors would like to acknowledge the
company Inspiring Sci, Lda for the interest and
valuable contribution to the successful development
of this work.info:eu-repo/semantics/publishedVersio
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY A STUDY ON ISSUES AND CHALLENGES TO ACHIEVE BETTER QOS IN WIRELESS SENSOR NETWORKS
Wireless Sensor Networks (WSNs) are used in variety of fields which includes military, healthcare, environmental,
biological, home and other commercial applications. The adoption of WSNs by specific applications that require
complex operations, ranging from health care to industrial monitoring, has brought forward a new challenge of
fulfilling the quality of service (QoS) requirements of these applications. However, providing QoS support is a
challenging issue due to highly resource constrained nature of sensor nodes, unreliable wireless links,dynamic
network topology and distributed architecture. We explore QoS challenges and perspectives for Wireless Sensor
Networks, compare the current QoS research issues and classify the state of the art QoS-aware protocols to
understand the properties and limitations of existing protocols
Quality-of-service in wireless sensor networks: state-of-the-art and future directions
Wireless sensor networks (WSNs) are one of today’s most prominent instantiations
of the ubiquituous computing paradigm. In order to achieve high
levels of integration, WSNs need to be conceived considering requirements
beyond the mere system’s functionality. While Quality-of-Service (QoS) is
traditionally associated with bit/data rate, network throughput, message delay
and bit/packet error rate, we believe that this concept is too strict, in
the sense that these properties alone do not reflect the overall quality-ofservice
provided to the user/application. Other non-functional properties
such as scalability, security or energy sustainability must also be considered
in the system design. This paper identifies the most important non-functional
properties that affect the overall quality of the service provided to the users,
outlining their relevance, state-of-the-art and future research directions
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