Despite its low computational cost, the Gradient Based Routing (GBR) broadcast of interest messages inWireless Sensor Networks\n(WSNs) causes significant packets duplications and unnecessary packets transmissions. This results in energy wastage, traffic load\nimbalance, high network traffic, and low throughput.Thanks to the emergence of fast and powerful processors, the development\nof efficient network coding strategies is expected to enable efficient packets aggregations and reduce packets retransmissions.\nFor multiple sinks WSNs, the challenge consists of efficiently selecting a suitable network coding scheme. This article proposes\na Cooperative and Adaptive Network Coding for GBR (CoAdNC-GBR) technique which considers the network density as\ndynamically defined by the average number of neighbouring nodes, to efficiently aggregate interest messages. The aggregation is\nperformed by means of linear combinations of random coefficients of a finite Galois Field of variable size GF(2
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