Abstract
Over the last few years, the Internet of Things (IoT) has become an omnipresent term. The IoT expands the existing common concepts, anytime and anyplace to the connectivity for anything. The proliferation in IoT offers opportunities but may also bear risks. A hitherto neglected aspect is the possible increase in power consumption as smart devices in IoT applications are expected to be reachable by other devices at all times. This implies that the device is consuming electrical energy even when it is not in use for its primary function. Many researchers’ communities have started addressing storage ability like cache memory of smart devices using the concept called—Named Data Networking (NDN) to achieve better energy efficient communication model. In NDN, memory or buffer overflow is the common challenge especially when internal memory of node exceeds its limit and data with highest degree of freshness may not be accommodated and entire scenarios behaves like a traditional network. In such case, Data Caching is not performed by intermediate nodes to guarantee highest degree of freshness. On the periodical updates sent from data producers, it is exceedingly demanded that data consumers must get up to date information at cost of lease energy. Consequently, there is challenge in maintaining tradeoff between freshness energy consumption during Publisher-Subscriber interaction. In our work, we proposed the architecture to overcome cache strategy issue by Smart Caching Algorithm for improvement in memory management and data freshness. The smart caching strategy updates the data at precise interval by keeping garbage data into consideration. It is also observed from experiment that data redundancy can be easily obtained by ignoring/dropping data packets for the information which is not of interest by other participating nodes in network, ultimately leading to optimizing tradeoff between freshness and energy required.
Highlights
With the fast growing technology the communication is no more confined between devices and humans
We have introduced maintenance of additional information in specialized table called as SCTSmart Caching table as shown in Table 1 apart from Content Store (CS), Forwarding Information Base (FIB), Pending Interest Table (PIT) tables as discussed earlier in introduction section
From above results analyzed from Graphs 1-4, we can estimate the rate of interest packets, i.e. amount of Interest packets to be generated by varying of
Summary
With the fast growing technology the communication is no more confined between devices and humans. Forwarding Information Base (FIB) maintains list of records, forwarded to neighbor by name-prefix It does not rely much more on the specific knowledge about origin and destiny of NDN data packets. Naming rules in NDN are assumed to be hierarchical structured e.g., an audio produced by Ganpat University PhD Centre may be namedv/gnuphdschool/wimc/rahul/track.mp, where “/” describes different elements using textual illustrations same as URL structure This URL type structure represents relationships between data elements in the application.
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