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International Journal of Sensor Networks is a peer-reviewed journal published by Inderscience, covering Energy Efficient Wireless Sensor Networks, Mobile Ad Hoc Networks, Energy Harvesting in Wireless Networks.
| Publisher | Inderscience |
|---|---|
| Reference style | Author–year (Harvard/AGSM) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Sensor Networks, 12(3), pp. 45–58.
Formats any DOI in International Journal of Sensor Networks style. No sign-up. |
| Publishes research in | Energy Efficient Wireless Sensor Networks Mobile Ad Hoc Networks Energy Harvesting in Wireless Networks Indoor and Outdoor Localization Technologies Security in Wireless Sensor Networks |
| ISSN | 1748-1279 |
| Citation impact (2-yr) | 0.61 |
| h-index | 40 |
| i10-index | 342 |
| Total citations | 11,249 |
| Top institutions publishing here | Nanjing University of Information Science and Technology |
| Journal website | www.inderscience.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Interference from colocated networks operating over the same frequency range, becomes an increasingly severe problem as the number of networks overlapping geographically increases. Our experiments show that such interference is indeed a major problem, causing up to 58% packet loss to a multihop 802.15.4 sensor network competing for radio spectrum with a WiFi network. We…
This paper introduces RL-MAC, a novel adaptive Media Access Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing schemes centre around scheduling the nodes' sleep and active periods as means of minimising the energy consumption. Recent protocols employ adaptive duty cycles as means of further optimising the energy utilisation.…
This paper addresses the target coverage problem in wireless sensor networks with adjustable sensing range.Communication and sensing consume energy, therefore efficient power management can extend network lifetime.In this paper, we consider a large number of sensors with adjustable sensing range that are randomly deployed to monitor a number of targets.Since targets are redundantly covered by…
This paper addresses the target coverage problem inWireless Sensor Networks (WSNs). Communication and sensing consume energy, therefore, efficient power management can extend network lifetime. In this paper, we consider a large number of sensors randomly deployed to monitor a number of targets. Each target may be redundantly covered by multiple sensors. To conserve energy, we…
