# A Cache Placement Strategy with Energy Consumption Optimization in Information-Centric Networking
###### Abstract  
With the rapid development of cloud computing, big data, and Internet of Things, Information-Centric Networking (ICN) has become a novel hotspot in the field of future Internet architecture, and new problems have appeared. In particular, more researchers consider information naming, delivery, mobility, and security in ICN. In this paper, we mainly focus on the cache placement strategy and network performance of ICN, and propose a cache placement strategy with energy consumption optimization. In order to optimize the energy consumption of the ICN, the best cache placement node is selected from the view of users. First of all, the distance sequence of different nodes arriving at each user is obtained in terms of detection results of network distribution channels, and the corresponding energy consumption of information distribution is obtained from the distance sequence. Secondly, the reward function of the cache node is derived using two factors of energy consumption, which includes the additional energy consumed by the change of the cache node and the energy consumption of the content distribution. Finally, we construct the optimal stopping theory problem to solve the maximum expected energy saving. In simulations, we give the comparison results of energy savings, caching benefit, and delivery success rate. The results show that the strategy proposed by this paper has higher delivery success rate and lower energy consumption than other strategies. Information-Centric Networking (ICN); cache placement; energy consumption optimization; optimal stopping +
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content. The core idea is that the content is placed in the first place, with the storage location of the content is no longer being of concern, only the content itself, and the content can come from the content server in the network, or it can be cached in any network node [9]. On the one hand, it can lighten the heavy protocol control load of the equipment, and on the other hand, the network can be controlled more flexibly and effectively. The network architecture of ICN is established based on IP protocol, which not only preserves the simplicity and scalability of IP protocol, but also provides better security and delivery efficiency. In addition, it is proved that ICN still needs to continue to be studied and has very large space for development. Under the background of the rapid development of network technology, cloud computing, big data, Internet of things, and other new technologies, the ICN, as the key technology of the next generation network, has been highly valued by the industry. How to improve caching performance and improve energy consumption is a hot topic in the industry. Although caching technology has been widely used in the field of computer networks, considering the generality and versatility of the caching function in ICN, there are still many problems to be solved in the study of caching technology. The current research of ICN cache technology mainly involves cache capacity allocation strategy, cache replacement strategy, cache utilization strategy, and cache placement strategy [10]. Because the performance of ICN network content distribution is directly influenced by the cache policy, therefore cache replacement strategy is also one of concerned topic for researchers. Among them, the problem of cache placement is at the core of ICN cache research. It is a hot topic to improve caching performance in current related research fields for ICN. Usually, cache management strategies are evaluated with respect to cache hit, stretch ratio, and eviction operations, but at the same time, another energy problem cannot be ignored. Due to economic, environmental, and market reasons, reducing energy consumption has become an important concern of the industry in recent years.