The Content-Centric Networking (CCN) concept is a significant approach of several future Internet research activities. CCN in Wireless Sensor Networks present a promised technique that may ensure data routing based on content. In this paper, we focus on the lifetime of the Content Object exchanged in the network and we explain the idea of its integration in CCN for WSNs to better highlight the relevance of its exploitation. To this end, we implement DFCCN-WSNs 'Data Freshness aware Content-Centric Networking in Wireless Sensor Networks' a protocol that implements the data lifetime. Through extensive simulations, we demonstrate that DFCCN-WSNs outperforms traditional CCN in terms of end-to-end delay.
Wireless Sensor Networks (WSNs) are used today in many applications that differ in their objectives and specific constraints. The common challenge in designing WSN applications comes from the specific constraints of sensors because of their limited physical resources such as weak computational capability, small memory capacity, and especially limited battery. In this paper, we consider sensor redundancy in WSN and we conduct an experimental study to better highlight the importance of its exploitation. We also implement OER 'Optimization of Energy based on Redundancy', a protocol that exploits redundancy in order to save energy. Moreover, we extend OER by a fault tolerance mechanism. Through extensive simulations, we show how OER combined with FTMOer outperforms traditional routing protocols that do not exploit redundancy.
The Content Centric Networking (CCN) is an emerging paradigm that grounds networking primitives on content names rather than node locators. CCN targets seamless mobility, native muticast/multipath support, and content oriented security to better reflect the needs of today users. CCN could greatly improve the efficiency of content delivery also in Wireless Sensor Networks (WSNs). In such a context, we place our attention on the energy efficiency of caching content placement. Our objective is to save energy while achieving a high interest satisfaction rate by study the impact of certain parameters on caching strategy. To this end, we come up with a collaborative on path caching strategy that exploits the node degree and its distance from the source. Through extensive simulations, we demonstrate that our approach achieves a energy efficiency compared to a LCE (Leave Copy Everywhere) while ensuring a good cahe hit then an important interest satosfaction rate.
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