| Autor: |
Orangel Azuaje, Ana Aguiar |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
IEEE Open Journal of the Communications Society, Vol 5, Pp 7147-7159 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2644-125X |
| DOI: |
10.1109/OJCOMS.2024.3491947 |
| Popis: |
Swarms of mobile wireless-connected sensors are increasingly deployed for applications such as monitoring, surveillance, and safety-critical operations. Quantifying end-to-end (e2e) delay performance guarantees in these scenarios is paramount. In this paper, we present a theoretical approach using Stochastic Network Calculus (SNC) with Moment Generating Functions (MGFs) to characterize e2e delay bounds in Mobile Wireless Sensor Networks (MWSNs). Our study focuses on a network composed of two segments: the first segment includes multiple nodes connected via a contention-based channel using the Distributed Coordination Function (DCF), while the second segment consists of a link prone to disconnections due to the mobility of nodes in the first segment. We model the first segment by calculating the expected per-packet service time in a non-saturated homogeneous contention channel and the second segment using a Discrete Time Markov Chain (DTMC). Initially, we derive a mathematical expression that correlates the offered load with the saturation status of each node’s queue in a non-saturated contention channel with homogeneous nodes. We then provide numerical e2e delay bounds for an illustrative example of a first responder network, quantifying the effects of non-saturated traffic, communication range on the head-sink link, and scheduling algorithms across different network sizes. Finally, we compare the derived e2e delay bounds with network simulations to assess their accuracy and reliability. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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