Ad Hoc & Sensor Wireless Networks

Scope & Guideline

Pioneering discoveries in wireless technology and engineering.

Introduction

Delve into the academic richness of Ad Hoc & Sensor Wireless Networks with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1551-9899
PublisherOLD CITY PUBLISHING INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2005 to 2024
AbbreviationAD HOC SENS WIREL NE / Ad Hoc Sens. Wirl. Netw.
Frequency10 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address628 NORTH 2ND ST, PHILADELPHIA, PA 19123

Aims and Scopes

The journal 'Ad Hoc & Sensor Wireless Networks' focuses on the latest advancements in the fields of ad hoc networks, wireless sensor networks (WSNs), and their applications. It aims to present innovative research that addresses the challenges and opportunities within these rapidly evolving areas.
  1. Wireless Sensor Networks (WSNs) and Ad Hoc Networks:
    Research in this area includes the design, implementation, and optimization of WSNs and ad hoc networks focusing on energy efficiency, reliability, and scalability.
  2. Network Security and Privacy:
    This includes developing protocols and frameworks that enhance the security and privacy of data transmission in wireless networks, particularly focusing on intrusion detection systems and secure communication protocols.
  3. Optimization Techniques for Network Performance:
    The journal emphasizes the use of metaheuristic and machine learning techniques to optimize various aspects of network performance, including routing, clustering, and data transmission.
  4. Internet of Things (IoT) Integration:
    Research related to the integration of IoT with wireless sensor networks, exploring frameworks and applications that enhance connectivity and functionality in diverse environments.
  5. Emerging Technologies and Applications:
    The journal covers research on the application of emerging technologies, such as blockchain and machine learning, in enhancing the performance, security, and scalability of wireless networks.
The journal has shown a dynamic evolution of themes, with several emerging trends gaining significant traction in recent years. These themes reflect the current challenges and innovations in wireless networks.
  1. Machine Learning and AI in Networking:
    There is a growing trend towards incorporating machine learning and artificial intelligence techniques in various aspects of networking, including routing, intrusion detection, and data optimization.
  2. Blockchain for Security and Trust:
    Research focusing on blockchain technology for enhancing security and trust in wireless networks is increasingly prevalent, indicating its potential to revolutionize data integrity and privacy.
  3. Energy-Efficient Protocols:
    There is a significant focus on developing energy-efficient protocols for WSNs and IoT applications, reflecting the ongoing challenge of energy management in resource-constrained environments.
  4. Decentralized Systems and Architectures:
    Emerging work on decentralized frameworks, particularly in relation to IoT and vehicular networks, highlights a shift towards more resilient and scalable network architectures.
  5. Advanced Data Transmission Techniques:
    Innovations in data transmission methods, including the use of novel algorithms for optimizing throughput and reducing latency, are becoming a prominent area of research.

Declining or Waning

As the field of wireless networks evolves, certain themes and research areas appear to be declining in focus within the journal. The following points highlight these waning themes, indicating a shift in research priorities.
  1. Traditional Energy Harvesting Methods:
    Research focusing on conventional energy harvesting methods has decreased, likely due to the emergence of more innovative solutions like RF energy harvesting and advanced battery technologies.
  2. Basic Routing Protocols:
    There is a noticeable decline in publications centered around basic routing protocols, as newer, more complex protocols incorporating machine learning and optimization techniques gain popularity.
  3. Static Network Models:
    Research that emphasizes static models of wireless networks is waning, reflecting a shift towards dynamic and adaptive network models that better represent real-world scenarios.
  4. Single-Focus Applications:
    Studies focusing solely on niche applications of WSNs, rather than broader applications or integration with IoT, are becoming less common, as interdisciplinary approaches gain traction.
  5. Conventional Security Measures:
    Traditional security measures are being overshadowed by more comprehensive frameworks that integrate advanced technologies such as blockchain and AI for enhanced security.

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