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Homogeneous and Heterogeneous Clustered Sensor Networks

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

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 1010

Special Issue Editor


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Guest Editor
Faculty Electrical Engineering, Texas A&M University-Commerce, Commerce, TX, USA
Interests: D2D communication; wireless communication; digital communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, wireless sensor networks (WSNs) are receiving considerable attention due to their various applications. Clustered SNWs in particular can operate in homogeneous as well as heterogeneous network topologies. They provide many advantages, including scalability and a reduction in data transmission to the base station. Moreover, they can be formed as single-hop or multi-hop WSNs.

In recent years, routing and data congregation approaches have been addressed by many researchers. Moreover, sensor nodes are typically power-limited; therefore, energy efficiency is a central research area. In addition, the complexity of hardware design is an important aspect for WSNs. While heterogeneous networks may achieve a reduced hardware cost and complexity, homogeneous networks can offer a balanced energy distribution among nodes. Therefore, tradeoffs and comparative studies for various clustering and protocols in single-hop and multi-hop homogenous and heterogeneous WSNs require contributions from research community.

This Special Issue aims to provide the readers of Sensors with recent technical contributions on the design aspects of WSNs, their complexity analysis, and performance tradeoffs. The main topics of interest include, but are not limited to, the following:

  1. Routing in clustered WSNs.
  2. Clustering mechanisms and protocols.
  3. Optimization of cluster head selection.
  4. Optimization of number clusters.
  5. Single- and multi-hop clustered WSNs.
  6. Cost analysis.
  7. Performance metrics.
  8. Performance–complexity tradeoffs.
  9. Energy efficiency–complexity tradeoffs.
  10. Optimization algorithms.

Dr. Redha Radaydeh
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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34 pages, 773 KiB  
Article
On Power-Efficient Low-Complexity Adaptation for D2D Resource Allocation with Interference Cancelation
by Redha M. Radaydeh
Sensors 2023, 23(16), 7138; https://doi.org/10.3390/s23167138 - 12 Aug 2023
Viewed by 582
Abstract
This paper presents a detailed framework for adaptive low-complexity and power-efficient resource allocation in decentralized device-to-device (D2D) networks. The adopted system model considers that active devices can directly communicate via specified signaling channels. Each D2D receiver attempts to allocate its D2D resources by [...] Read more.
This paper presents a detailed framework for adaptive low-complexity and power-efficient resource allocation in decentralized device-to-device (D2D) networks. The adopted system model considers that active devices can directly communicate via specified signaling channels. Each D2D receiver attempts to allocate its D2D resources by selecting a D2D transmitter and one of its spectral channels that can meet its performance target. The process is performed adaptively over successive packet durations with the objective of limiting the transmit power on D2D links while reducing the processing complexity. The proposed D2D link adaptation scheme is modeled and analyzed under generalized channel conditions. It considers the random impact of potential D2D transmitters as well as the random number of co-channel interference sources on each D2D link. Interference cancelation schemes are also addressed to alleviate co-channel interference, which can ease the D2D resource allocation process. Generalized formulations for the statistics of the resulting signal-to-interference plus noise ratio (SINR) of the proposed adaptation scheme are presented. Moreover, generic analytical results were developed for some important performance measures as well as processing load measures. They facilitate tradeoff studies between the achieved performance and the processing complexity of the proposed scheme. Insightful results for the distributions of SINRs on individual D2D links under specific fading models are shown in this paper. The results herein add enhancements to some previous contributions and can handle various practical constraints. Full article
(This article belongs to the Special Issue Homogeneous and Heterogeneous Clustered Sensor Networks)
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