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Modeling, Analysis, and Performance Evaluation of Wireless Ad Hoc Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 6853

Special Issue Editor


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Guest Editor
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
Interests: mobile ad hoc networks; wireless sensor networks; wireless mesh networks

Special Issue Information

Dear Colleagues,

A wireless ad hoc network is built to enable many wireless devices connected without infrastructure equipment, such as a wireless router or unplanned access point. These special characteristics are very important in emergent or restricted situations. However, as such networks are increasingly complex, performance modeling and evaluation play a crucial part in their design process to ensure their successful deployment and exploitation in practice. There are also other challenging issues, such as mobility, security, and QoS performance, which shall be considered when designing wireless ad hoc networks, especially in the coming digital age.

The aim of this Special Issue is to share novel approaches for monitoring, measuring, modeling, optimizing, simulating, analyzing, and case studying the characteristics of ad hoc, sensor, pervasive, and ubiquitous networks, as well as exploring and developing new ad hoc networking protocols and tools. It aims to bring together researchers and industry professionals to report recent research advances on wireless ad hoc networks. We invite academia and industry to contribute to the latest research advances that help to solve the challenges associated with wireless ad hoc networks.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Infrastructure and system model of wireless ad hoc networks;
  • Performance analysis of wireless ad hoc networks;
  • Simulation and evaluation of wireless ad hoc networks;
  • Security in wireless ad hoc networks;
  • QoS supporting in wireless ad hoc networks;
  • Media access in wireless ad hoc networks;
  • Routing protocols in wireless ad hoc networks;
  • Traffic control in wireless ad hoc networks;
  • Coordination between wireless ad hoc networks and edge computing;
  • Data analysis in smart city, smart grid, and other applications.

We look forward to receiving your contributions.

Prof. Dr. Hongju Cheng
Guest Editor

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Published Papers (3 papers)

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Research

20 pages, 3909 KiB  
Article
IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns
by Jun Wang, Yadan Zhang, Chunyan Hu, Pengjun Mao and Bo Liu
Sensors 2022, 22(20), 7936; https://doi.org/10.3390/s22207936 - 18 Oct 2022
Cited by 5 | Viewed by 1533
Abstract
Energy limitation is one of the intrinsic shortcomings of wireless sensor networks (WSNs), although it has been widely applied in disaster response, battlefield surveillance, wildfire monitoring, radioactivity detection, etc. Due to the large amount of energy consumed for data transmission, how to prolong [...] Read more.
Energy limitation is one of the intrinsic shortcomings of wireless sensor networks (WSNs), although it has been widely applied in disaster response, battlefield surveillance, wildfire monitoring, radioactivity detection, etc. Due to the large amount of energy consumed for data transmission, how to prolong the network lifespan by designing various hierarchical routing protocols has attracted more and more attention. As a result, numerous achievements have emerged successively. However, these presented mechanisms can rarely guarantee the satisfactory quality of service (QoS), while lowering the energy cost level of WSNs. Meanwhile, invulnerability is undoubtedly an excellent quantitative index to assess QoS. Therefore, it is critical to develop a practical routing method to optimize network lifetime by considering both invulnerability and energy efficiency. Game theory is suitable for such a critical problem as it can be used in node or at network level to encourage the decision-making capabilities of WSNs. In this paper, a novel invulnerability-aware clustering routing algorithm (IACRA) using game-theoretic method is proposed to solve the predicament. The core features of the addressed game-theory-based routing protocol include integral invulnerability awareness, optimal cluster head selection in hierarchical routing, distance-aware cluster head discovery, and cluster rotation update mechanism for lifetime optimization. Particularly, the integral network invulnerability based on weighted fusion is constructed for further defining the profit model by combining the invulnerability indicators used to evaluate the local and whole network. Meanwhile, the optimal probability function of every node elected as CH in per cluster is established through the game between invulnerability and node energy consumption. In addition, the cluster update mechanism base on cluster rotation is proposed to avoid the rapid death of nodes with large energy consumption for maximizing network lifetime. The experimental results indicated a significant improvement in energy balance as well as in invulnerability compared with the other three kinds of well-known clustering routing protocols including GEEC (Game-theory-based energy efficient clustering routing protocol), HGTD (Hybrid, game-theory-based distributed clustering protocol), and EEGC (Efficient energy-aware and game-theory-based clustering protocol). Concretely, at the 400 communication rounds, the invulnerability of IACRA was higher than that of GEEC, HGTD, and EEGC by 77.56%, 29.45% and 15.90%, respectively, and the average residual energy of IACRA was 8.61%, 18.35% and 6.36% larger than that of GEEC, HGTD, and EEGC, respectively. Based on these results, the proposed protocol can be utilized to increase the capability of WSNs against deterioration of QoS and energy constraints. Full article
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24 pages, 2564 KiB  
Article
Traffic Aware Scheduler for Time-Slotted Channel-Hopping-Based IPv6 Wireless Sensor Networks
by Diana Deac, Eden Teshome, Roald Van Glabbeek, Virgil Dobrota, An Braeken and Kris Steenhaut
Sensors 2022, 22(17), 6397; https://doi.org/10.3390/s22176397 - 25 Aug 2022
Cited by 13 | Viewed by 2243
Abstract
Wireless sensor networks (WSNs) are becoming increasingly prevalent in numerous fields. Industrial applications and natural-disaster-detection systems need fast and reliable data transmission, and in several cases, they need to be able to cope with changing traffic conditions. Thus, time-slotted channel hopping (TSCH) offers [...] Read more.
Wireless sensor networks (WSNs) are becoming increasingly prevalent in numerous fields. Industrial applications and natural-disaster-detection systems need fast and reliable data transmission, and in several cases, they need to be able to cope with changing traffic conditions. Thus, time-slotted channel hopping (TSCH) offers high reliability and efficient power management at the medium access control (MAC) level; TSCH considers two dimensions, time and frequency when allocating communication resources. However, the scheduler, which decides where in time and frequency these communication resources are allotted, is not part of the standard. Orchestra has been proposed as a scheduler which allocates the communication resources based on information collected through the IPv6 routing protocol for low-power and lossy networks (RPL). Orchestra is a very elegant solution, but does not adapt to high traffic. This research aims to build an Orchestra-based scheduler for applications with unpredictable traffic bursts. The implemented scheduler allocates resources based on traffic congestion measured for the children of the root and RPL subtree size of the same nodes. The performance analysis of the proposed scheduler shows lower latency and higher packet delivery ratio (PDR) compared to Orchestra during bursts, with negligible impact outside them. Full article
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19 pages, 1362 KiB  
Article
A Time-Driven Cloudlet Placement Strategy for Workflow Applications in Wireless Metropolitan Area Networks
by Jianshan Zhang, Ming Li, Xianghan Zheng and Ching-Hsien Hsu
Sensors 2022, 22(9), 3422; https://doi.org/10.3390/s22093422 - 29 Apr 2022
Cited by 5 | Viewed by 2361
Abstract
With the rapid development of mobile technology, mobile applications have increasing requirements for computational resources, and mobile devices can no longer meet these requirements. Mobile edge computing (MEC) has emerged in this context and has brought innovation into the working mode of traditional [...] Read more.
With the rapid development of mobile technology, mobile applications have increasing requirements for computational resources, and mobile devices can no longer meet these requirements. Mobile edge computing (MEC) has emerged in this context and has brought innovation into the working mode of traditional cloud computing. By provisioning edge server placement, the computing power of the cloud center is distributed to the edge of the network. The abundant computational resources of edge servers compensate for the lack of mobile devices and shorten the communication delay between servers and users. Constituting a specific form of edge servers, cloudlets have been widely studied within academia and industry in recent years. However, existing studies have mainly focused on computation offloading for general computing tasks under fixed cloudlet placement positions. They ignored the impact on computation offloading results from cloudlet placement positions and data dependencies among mobile application components. In this paper, we study the cloudlet placement problem based on workflow applications (WAs) in wireless metropolitan area networks (WMANs). We devise a cloudlet placement strategy based on a particle swarm optimization algorithm using genetic algorithm operators with the encoding library updating mode (PGEL), which enables the cloudlet to be placed in appropriate positions. The simulation results show that the proposed strategy can obtain a near-optimal cloudlet placement scheme. Compared with other classic algorithms, this algorithm can reduce the execution time of WAs by 15.04–44.99%. Full article
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