2012/12/20 by Mahdy Nabaee, Nabaee, Mahdy, Fabrice Labeau +1 · 1 citation
Computer Science · Engineering · Mathematics · #Cooperative Communication and Network Coding #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1212.5288
Submitted for IEEE Transactions on Signal Processing
arxiv created 2012/12/20 · openalex publication_date 2012/12/20 · arxiv updated 2012/12/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Non-adaptive joint source network coding of correlated sources is discussed in this paper. By studying the information flow in the network, we propose quantized network coding as an alternative for packet forwarding. This technique has both network coding and distributed source coding advantages, simultaneously. Quantized network coding is a combination of random linear network coding in the (infinite) field of real numbers and quantization to cope with the limited capacity of links. With the aid of the results in the literature of compressed sensing, we discuss theoretical and practical feasibility of quantized network coding in lossless networks. We show that, due to the nature of the field it operates on, quantized network coding can provide good quality decoding at a sink node with the reception of a reduced number of packets. Specifically, we discuss the required conditions on local network coding coefficients, by using restricted isometry property and suggest a design, which yields in appropriate linear measurements. Finally, our simulation results show the achieved gain in terms of delivery delay, compared to conventional routing based packet forwarding.