Routing impact on network lifetime maximization using power/rate trade-off in WVSN

Khernane, Nesrine; Couchot, Jean-François; Mostefaoui, Ahmed

doi:10.1109/iwcmc.2017.7986269

Cited by 3 publications

(3 citation statements)

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“…Thus, finding a balance between the visual quality at the sink and the video coding at the source nodes is a crucial task. On the other hand, the reliable delivery (i.e., the chosen routing protocol) of the video content can highly influence the network's lifetime as shown in [4,5] (several routing protocols were implemented as adds-on; each of which was considered as an input). In fine, processing and delivering multimedia content are not independent tasks, and their interaction has a major impact on the network lifetime.…”

Section: Motivationsmentioning

confidence: 99%

“…• Different from our previous work in [4], where the routing protocols where implemented as an inputs to the analytic model [5] (to study their impact on the network lifetime), in this paper, based on the same analytic model, we propose a solution that optimally selects the forwarding nodes.…”

Section: Contributionsmentioning

confidence: 99%

“…Firstly, a primal decomposition with respect to the coupling variables (a + il , a − il ) is required. Then, the dual problem can be formulated with respect to the coupling constraints (1), (2), (3) and (4). Finally, the original optimization problem (11) can be decomposed into two subproblems as follows:…”

Section: Problem Resolutionmentioning

confidence: 99%

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Maximum network lifetime with optimal power/rate and routing trade-off for Wireless Multimedia Sensor Networks

Khernane

Couchot

Mostefaoui

2018

Computer Communications

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Wireless Multimedia Sensor Networks (WMSN) are today considered as a promising technology, notably because of the availability of miniaturized multimedia hardware (e.g., CMOS cameras). Nevertheless, they do raise new research challenges; i.e., multimedia content is much more voluminous and rich in comparison to scalar one. Hence, multimedia data need pre-processing, namely coding, before they are delivered to the sink. In WMSN, meeting the required visual quality at the sink whilst taking into account the intrinsic network limitations, energy in particular, remains very challenging. In fact, higher visual quality of the data increases its volume, which in turn consumes more network resources and vice versa. The problem is more complex when including the data routing, especially when the routing is initially unknown. In this paper, we focus on the problem of simultaneously optimizing the video encoding at the source nodes and the routing of the generated data (i.e., the routing matrix is initially unknown) to the sink in order to maximize the network lifetime. This issue is tackled through the proposition of an analytic model. Based on the latter, two solutions have been studied. In the first one, of a static nature (i.e., network topology is static), the routes are calculated using the shortest path routing protocol toward the sink. The evaluation we made has shown that our proposed solution consumes less than 0.030% of the total battery while it increases the whole network lifetime nearly between 7 to 12 times, depending on the considered topologies, in comparison to the baseline approach (i.e., without optimization). Afterwards, in order to handle dynamic topology changes and to consider the link reliability, the work have been extended to the selection of routing paths, in a fully distributed fashion (i.e., using a local decision hop-by-hop routing protocol) with respect to both the shortest ones and their reliability. The second solution was evaluated through two different dynamic topologies. The simulation results show an energy consumption inferior to 0.025% and 0.080% of the total battery in the first and the second topology, respectively, with an improvement of the network lifetime that is multiplied by around 7 in comparison to the baseline approach.

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Section: Motivationsmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

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Maximum network lifetime with optimal power/rate and routing trade-off for Wireless Multimedia Sensor Networks

Khernane

Couchot

Mostefaoui

2018

Computer Communications

Self Cite

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A Distributed Rate-Control Approach to Reduce Communication Burdens in VSNs

et al. 2023

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In visual sensor networks, the analyze-then-compress paradigm, where each camera process data and extract local features, is proved to be an efficient approach to reduce the amount of transmitted information. The bitrate can be further reduced by efficiently compressing the extracted features using a distributed feature coding technique. However, since the rate control is performed at the decoder, an abundant use of the feedback channel is needed to adjust the coding rate. Moreover, transmitting all extracted features, including irrelevant ones with no further contribution to the application accuracy, overloads the network. In this paper, we propose a novel feature selection and distributed coding rate control strategies that cope with these issues. The proposed strategies are designed to significantly reduce the transmitted bitrate and the communication burden with the sink, which implicitly reduces the energy consumption and the decoding delay. We show that, wisely selecting at the camera sensors level only the features effectively contributing to the application accuracy reduces the amount of transmitted information up to 34% while preserving accuracy. Furthermore, the cameras can collaborate periodically, by exchanging small amount of information about their selected features, to estimate the minimum transmission rate required for each feature based on a linear fitting model that takes into consideration the inter-camera correlation and the channel conditions. Significant average bitrate savings, reaching up to 37.71%, are achieved.INDEX TERMS Distributed Feature Coding, rate control, feature selection, multi-view, Visual Sensor Networks.

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