Information-Centric Architecture Using Mobile Agent for MANET

Fujikawa, Joji; Shiokawa, Shigeki

doi:10.2299/jsp.22.179

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…In these protocols, when some nodes have the same requested content, duplicate transmissions of the content occur. To solve this duplicate transmission, an information centric architecture using a mobile agent (MA method) [7] [8] has been proposed. This method applies a routing protocol using an MA [9] [10] to content acquisition.…”

Section: Introductionmentioning

confidence: 99%

Multipath Content Acquisition Method Using Overhearing in ICN

Shinohara

Shiokawa

2020

Journal of Signal Processing

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Recently, ICN (InformationCentric Networking) has been applied to wireless environments such as mobile ad hoc networks (MANETs). In a MANET, each node has limited power resources. However, in many protocols, a node sends an interest packet by flooding, which consumes much power. To solve this problem, a multipath content acquisition method has been proposed. In this method, since a requester node selects provider nodes, it does not need flooding for the transmission of an interest. However, relay nodes in one of the paths cache only half of the content and cannot send any content to the requester unless both parts of the content are cached.In this paper, in order to increase the probability of caching the complete content, we propose a content acquisition method using overhearing. In this method, adjacent nodes of a relay node also receive content data. They cache the content data if another part of the content has been cached. As a result, the number of nodes that cache the complete content increases.

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Section: Introductionmentioning

confidence: 99%

Multipath Content Acquisition Method Using Overhearing in ICN

Shinohara

Shiokawa

2020

Journal of Signal Processing

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“…It divides a task covering a large amount of computing into multiple parts, transforms one task into multiple tasks, and assigns the divided tasks to multiple computers for processing. The result ensemble is the final result [1]. For the problem of a large amount of data, this task scheduling solution brings great convenience to people.…”

Section: Introductionmentioning

confidence: 99%

Distributed System Computation Model Based on Mobile Agent Development Platform

2020

DPS

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With the advancement of Internet technology, people's requirements for data computing and processing are getting higher and higher, and it is difficult for a single computer to meet efficient task computing and data transmission. Therefore, multiple computers are connected to complete a large-scale project. The needs of the task are becoming more and more urgent. With the increase of this demand, the distributed system(DS) emerges as the times require, and the mobile agent technology provides a new way to solve the distributed computing(DC) problem. For the system proposed in this paper, the service quality of computing tasks is evaluated by the transparent memory(TM) usage effect of the DC system. The experiments show that the TM algorithm is the most robust to the amount of memory contributed by nodes; and then through the multi-queue node scheduling experiment, it is found that the low priority The response time of the task is higher than that of the high priority task.

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Information Centric Networking in Mobile Environments

Shiokawa

2023

IEICE Fundamentals Review

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Information Centric Networking(ICN), an information-oriented network that focuses on transmitted and received contents, has been attracting attention as an alternative to the host-oriented network based on Internet Protocol(IP). Many protocols have been proposed for the practical use of ICN, and the implementation of ICN in wired networks has begun. On the other hand, many problems still remain in applying ICN to the mobile network environment because of the unique characteristics of mobile networks, such as terminal mobility and power consumption limitations. In this paper, we provide an overview of ICN and its basic features, and discuss the problems and solutions related to its application to mobile network environments. We also introduce methods that have been proposed so far and discuss their effectiveness determined on the basis of the results of performance evaluations.

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Information-Centric Architecture Using Mobile Agent for MANET

Cited by 3 publications

References 9 publications

Multipath Content Acquisition Method Using Overhearing in ICN

Multipath Content Acquisition Method Using Overhearing in ICN

Distributed System Computation Model Based on Mobile Agent Development Platform

Information Centric Networking in Mobile Environments

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