Performance evaluation of mobile agent based resource management protocol for MANETs

Channappagoudar, Mallikarjun B.; Venkataram, Pallapa

doi:10.1016/j.adhoc.2015.08.008

Cited by 7 publications

(6 citation statements)

References 23 publications

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“…Black box method is proposed in the article. 10 Black box is usually used to package mobile agent information, including encapsulation data of mobile agent, codes and execution states. Mobile agent is just a black box by looking from outside and the sensor node can only get the input or output information of mobile agent.…”

Section: Research On Security Of Mobile Agent In Mobile Agent Servermentioning

confidence: 99%

“…In the security of mobile agent transfer process, researchers put forward some solutions, such as asymmetric encryption method, 5 a mixed variety of encryption mechanisms, 6 and pretty good privacy (PGP) encryption algorithm 7 . In the security of mobile agent in mobile agent server, solutions are partial results encapsulation mechanism, 8 hardware protection strategy, 9 the black box method, 10 and so on.…”

Section: Introductionmentioning

confidence: 99%

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Reputation detection based on incomplete β distribution for mobile agent in wireless sensor networks

Yang

Jin

Yao

et al. 2017

International Journal of Distributed Sensor Networks

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Mobile agent is a kind of program which can transfer via asynchronous mode independently in the sensor network with outstanding prospects in application. However, due to the openness of the sensor network, mobile agents are facing the threat of security, such as being stolen and modified. How to protect sensors from attacks of malicious mobile agents becomes an important issue in the field. Traditional access control strategies such as hybrid encryption mechanism, partial results of the package, and other methods have some defects in the application. We design a multisensor interaction trust model with complete b distribution and introduce incomplete b distribution to optimize the trust model according to the actual situation of detection data loss for mobile agent system in the wireless sensor networks. In addition, the introduction of the malicious behavior feedback mechanism ensures the security of sensors in the mobile agent system. The experimental results show that the reputation model of incomplete b distribution can simulate the actual situation well, resist the attacks of malicious agents, and ensure the security of sensors in the system.

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Section: Research On Security Of Mobile Agent In Mobile Agent Servermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reputation detection based on incomplete β distribution for mobile agent in wireless sensor networks

Yang

Jin

Yao

et al. 2017

International Journal of Distributed Sensor Networks

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“…Thirdly, it is needed to manage the network to meet the requirement of communication quality when resources (bandwidth, queue length, battery capacity, etc.) are limited [7]. These issues may not only increase latency and packet loss rate but also reduce throughput.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive on-Demand Multipath Routing Protocol With QoS Support for High-Speed MANET

et al. 2020

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The mobility and resource limitation of nodes are the critical factors that affect the performance of Mobile AD hoc network (MANET). The mobility of nodes will affect the stability of links, and the limitation of node resources will lead to congestion, so it is very difficult to design a routing protocol that supports quality of service (QoS) in MANET. Especially in the scenario of high-speed node movement, frequent link interruption will damages QoS performance, so it is necessary to design MANET routing protocol that can adapt to network topology changes to support QoS. In this paper, we propose a Topological change Adaptive Ad hoc On-demand Multipath Distance Vector (TA-AOMDV) routing protocol, which can adapt to high-speed node movement to support QoS. In this protocol, a stable path selection algorithm is designed, which not only takes node resources (residual energy, available bandwidth and queue length) as the path selection parameters, but also considers the link stability probability between nodes. Furthermore, in order to adapt to the rapid change of topology, link interrupt prediction mechanism is integrated into the protocol, which updates the routing strategy based on periodic probabilistic estimates of link stability. Different scenarios with node speed in the range of 10-50m/s, data rate in the range of 4-40kbps and number of nodes in the range of 10-100 are simulated on NS2 platform. Our results show that the QoS metrics (packet delivery rate, end-to-end delay, and throughput) of the proposed protocol are significantly improved when the node speed is higher than 30m/s although it is slightly better when the node speed is lower than 30m/s. Our on-demand multipath routing protocol demonstrates high potential to support QoS for high-speed MANET. INDEX TERMS Mobile ad hoc network, link stability, QoS, multipath routing, cross layer.

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“…Furthermore, it also suffers from internal and external interference failures. Other existing cross layer approach can be highlighted such as first, change in nodes mobility changes the topology of the network through unpredicted manner and this affects the link stability [16]; also when the nodes are battery based, any failure in node affects the established link and network topology as well. Third, meeting the communication quality requirement with restricted resources such as bandwidth and queue length [17][18].…”

Section: Introductionmentioning

confidence: 99%

Integrated Cross Layer Optimization Approach for Quality of Service Enhancement in Wireless Network

Chavan¹,

Reddy²

2021

INDJCSE

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Wireless network has emerged as the primary technology for the next generations networks and it adopts various feature such as ease of deployment, low cost, increased coverage which forms the selforganized structure without relying on any fixed network. Wireless network possesses various multimedia transmission application such as real time delivery of audio, video and VOIP; out of these services video transmission is considered as more challenging as it requires high QoS as the QoS are degraded often due to unreliable nature of network, fading radio signals, node's mobility. Moreover, high quality video transmission requires high QoS such as efficient bandwidth utilization, high throughput, low delay and high PSNR value for video transmission; in order to utilize the network resources, guaranteed QoS is essential requirement which has been researched by several researchers, however main issue of these approaches are missing end-to-end QoS guarantee for video transmission. In this paper we design and develop an ICLO (Integrated Cross Layer optimization) approach which aims to enhance the Quality of Service; considering two major issue i.e. video encoding and packet transmission. Further, these problem are solved through various optimization model such as optimization of channel modelling, obstacle aware interference modelling, queueing model and video distortion model. Further these optimization are integrated to solve the designed problem which enhances the Quality of Service. Further, we evaluate the ICLO considering the performance metrics like bandwidth efficiency, PSNR, Throughput and End-to-End delay.

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Performance evaluation of mobile agent based resource management protocol for MANETs

Cited by 7 publications

References 23 publications

Reputation detection based on incomplete β distribution for mobile agent in wireless sensor networks

Reputation detection based on incomplete β distribution for mobile agent in wireless sensor networks

An Adaptive on-Demand Multipath Routing Protocol With QoS Support for High-Speed MANET

Integrated Cross Layer Optimization Approach for Quality of Service Enhancement in Wireless Network

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