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 offer...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.展开更多
针对延迟容忍网络中存在的数据传输时延较高、摆渡节点间协作性不高,以及如何最优分配摆渡节点等问题,提出一种基于位置信息的摆渡节点延迟容忍网络路由算法(ferries routing mechanism based on location information for delay tolera...针对延迟容忍网络中存在的数据传输时延较高、摆渡节点间协作性不高,以及如何最优分配摆渡节点等问题,提出一种基于位置信息的摆渡节点延迟容忍网络路由算法(ferries routing mechanism based on location information for delay tolerant network,FRLI)。基于节点位置信息,定义基于位置信息的数据传输机制,通过划分摆渡节点隶属的区域,根据摆渡节点在网络中的初始分布状况,合理分配网络中摆渡节点分布,通过交换彼此区域内缓存的网络节点信息,获取有利于当前区域内数据传输的有效信息,提高区域内数据传输效率;基于节点区域信息,确认目的节点是否属于当前区域后,直接将数据投递至网关节点,渐次转发至目的节点所在区域,有效提高数据传输效率。仿真结果表明,与当前MURA算法、SIRA算法相比,该算法具有更低的数据传输时延与更高的传输效率。展开更多
文摘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.
文摘针对延迟容忍网络中存在的数据传输时延较高、摆渡节点间协作性不高,以及如何最优分配摆渡节点等问题,提出一种基于位置信息的摆渡节点延迟容忍网络路由算法(ferries routing mechanism based on location information for delay tolerant network,FRLI)。基于节点位置信息,定义基于位置信息的数据传输机制,通过划分摆渡节点隶属的区域,根据摆渡节点在网络中的初始分布状况,合理分配网络中摆渡节点分布,通过交换彼此区域内缓存的网络节点信息,获取有利于当前区域内数据传输的有效信息,提高区域内数据传输效率;基于节点区域信息,确认目的节点是否属于当前区域后,直接将数据投递至网关节点,渐次转发至目的节点所在区域,有效提高数据传输效率。仿真结果表明,与当前MURA算法、SIRA算法相比,该算法具有更低的数据传输时延与更高的传输效率。
