Mitigating Routing Misbehavior in Mobile Ad Hoc Networks

Mitigating Routing Misbehavior in Mobile Ad Hoc Networks

2000 | Sergio Marti, T.J. Giuli, Kevin Lai, and Mary Baker
This paper addresses the issue of routing misbehavior in mobile ad hoc networks, where nodes may agree to forward packets but fail to do so due to overload, selfishness, malicious intent, or technical issues. To mitigate this problem, the authors propose two techniques: the watchdog and the pathrater. The watchdog identifies misbehaving nodes by monitoring their packet forwarding behavior, while the pathrater helps routing protocols avoid these nodes. Through simulations using the ns network simulator, the authors evaluate the effectiveness of these techniques. They find that when used together in a network with moderate mobility, the two techniques can increase throughput by 17% in the presence of 40% misbehaving nodes, while increasing the percentage of overhead transmissions from 9% to 17%. During extreme mobility, the increase in throughput can be as high as 27%, with overhead transmissions increasing from 12% to 24%. The paper also discusses the limitations and potential improvements of the watchdog and pathrater mechanisms, and suggests future research directions, including optimizing parameters, integrating trusted nodes, and evaluating performance with TCP flows.This paper addresses the issue of routing misbehavior in mobile ad hoc networks, where nodes may agree to forward packets but fail to do so due to overload, selfishness, malicious intent, or technical issues. To mitigate this problem, the authors propose two techniques: the watchdog and the pathrater. The watchdog identifies misbehaving nodes by monitoring their packet forwarding behavior, while the pathrater helps routing protocols avoid these nodes. Through simulations using the ns network simulator, the authors evaluate the effectiveness of these techniques. They find that when used together in a network with moderate mobility, the two techniques can increase throughput by 17% in the presence of 40% misbehaving nodes, while increasing the percentage of overhead transmissions from 9% to 17%. During extreme mobility, the increase in throughput can be as high as 27%, with overhead transmissions increasing from 12% to 24%. The paper also discusses the limitations and potential improvements of the watchdog and pathrater mechanisms, and suggests future research directions, including optimizing parameters, integrating trusted nodes, and evaluating performance with TCP flows.
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