The main focus of this paper is the resilience of communication protocols for data gathering in distributed, large scale, and dense\nnetworks. In our previouswork,we have proposed the resilientmethods based on randombehavior and data replications to improve\nroute diversification, thus to take advantage of redundant network structure. Following these previous methods, we propose in this\npaper a new resilient method based on network coding techniques to improve resilience in Wireless Sensor Networks (WSNs)\nfor smart metering applications. More precisely, using our resilience metric based on a performance surface, we compare several\nvariants of a well-known gradient based routing protocol with the previous methods (randomrouting and packet replications) and\nthe new proposed methods (two network coding techniques). The proposed methods outperformed the previous methods in terms\nof data delivery success even in the presence of high attack intensity
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