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Energy Harvesting in Mobile Adhoc and Sensor Networks 2023

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

Deadline for manuscript submissions: closed (30 May 2024) | Viewed by 1351

Special Issue Editor

Special Issue Information

Dear Colleagues,

A Mobile Ad hoc Network (MANET) consists of many nodes that come together to form a network based on some requirements. Here, nodes act as both routers and hosts. The transmission is broadcasted within the transmission range. A sensor network consists of a group of small, powered devices and a wireless or wired networked infrastructure. The sensor devices record conditions of environments, such as industry, firms, hospitals and many more. These days, numerous sensors are used in many applications to make our lifestyle more comfortable. These sensors require electric energy for functioning. These days, energy consumption is one of the key issues to develop a wireless network by using sensors. To periodically charge the mobile devices and sensors by using a power cord is not always possible. It also obstructs the operations of the devices. Energy harvesting is one of the popular approaches that can solve these issues as it powers sensors and mobile nodes. Here, the network is developed in such a manner that it can be self-sustaining by using energy harvesting from many sources, such as solar power, thermal energy, electromagnetic waves, wind energy and many more. The recent advances of green communication also require to develop energy harvesting based communication techniques. This has become one of the major requirements as the number of mobile nodes and sensors has increased rapidly, which consumes much power.

The intent of this Special Issue is to invite scholars, researchers and other innovators to collectively show their state-of-the-art knowledge and their cutting-edge innovations in the area of energy harvesting in MANET and sensor networks for next-generation computing and communication systems. Theoretical investigation and prototype implementation-based studies are particularly welcomed.

Prof. Dr. Pascal Lorenz
Guest Editor

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Keywords

  • energy harvesting
  • energy scavenging
  • self-powered devices
  • sleep scheduling
  • energy cooperation and relaying
  • QoS aware algorithms with energy harvesting
  • low power wide area (LPWA) technology
  • wireless power enabled communications
  • hardware design and prototype
  • applications and future trends

Published Papers (1 paper)

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Research

23 pages, 1211 KiB  
Article
Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density
by Xiaolin Li, Xin Bian and Mingqi Li
Sensors 2024, 24(2), 325; https://doi.org/10.3390/s24020325 - 5 Jan 2024
Cited by 1 | Viewed by 937
Abstract
In the process of data transmission in mobile ad hoc networks, it is essential to establish optimal routes from source nodes to destination nodes. However, as network density increases, this process is often accompanied by a significant rise in network overhead. To address [...] Read more.
In the process of data transmission in mobile ad hoc networks, it is essential to establish optimal routes from source nodes to destination nodes. However, as network density increases, this process is often accompanied by a significant rise in network overhead. To address this issue, the ND-AODV (neighborhood density AODV) protocol has been introduced, which reduces the probability of transmitting control information in high-density node environments to mitigate network overhead. Nevertheless, this may come at the cost of reduced routing accuracy, potentially leading to unnecessary resource wastage in certain scenarios. Furthermore, ND-AODV does not comprehensively consider the location of the receiving nodes, which limits its ability to reduce network overhead effectively. To overcome these limitations, this paper introduces a novel routing approach, known as CND-AODV (common neighborhood density AODV). In comparison to ND-AODV, CND-AODV offers a more comprehensive solution to the challenges posed by high-density network environments. It intelligently processes control information based on the special positioning of the receiving nodes, thereby significantly reducing unnecessary network overhead. Through simulation experiments comparing performance metrics such as throughput, packet delivery rate, and latency, the results clearly indicate that CND-AODV substantially decreases network overhead, enhancing network performance. Compared to ND-AODV, this innovative routing approach exhibits significant advantages. It provides a more efficient and reliable solution for ad hoc networks in high-density environments. Full article
(This article belongs to the Special Issue Energy Harvesting in Mobile Adhoc and Sensor Networks 2023)
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