# MPH-M, AODV-M and DSR-M Performance Evaluation under Jamming Attacks
## 3 Related Work
### Mitigation through Routing  
In [22], the quality of the channel is evaluated using: signal-to-noise ratio, a cost of links, data dropped rate and time. Once the jammer is detected, then AODV protocol is adapted to avoid routes in the attacked area. The scope of their work was limited to AODV. Our proposal complements the perspective of modifying the AODV protocol and we added another widely used protocol such as DSR. Here the authors modify the routing of the protocol, in our proposal we modified the protocol adding a control packet based on values of performance metrics.  
In [23] [PERSON] et al. measure constant jamming level, and the routing algorithm uses this information to decide the best routes. Since they are limited to constant jamming they only analyze energy to detect it. Our work further deepens the performance parameters to detect an area under jamming, such as: delay, retransmissions, traffic, overhead, among others. In [24] [PERSON] et al. authorsdetect one or more stationary and mobile jammers and with this information define multi-path to transmit packets with a modified AODV, which analyzes the reliability in routes to decide the next hop. Their work was also restricted to AODV.  
In [25], the metrics used to detect jamming are: signal-to-noise ratio, transmission power, and delay. The routing algorithm employs information of jamming detectors to select the best route. In their work, they do not isolate the area under attack, and when the jamming area changes the selected route could be inside of this new jamming area degrading the performance of the network. Authors only use throughput to evaluate the performance of the network. It would have interesting if the authors have also measured the performance of the network using the energy consumption in the nodes, and the resilient when jamming conditions change. In the work cited in [26], they propose a comparison under security conditions between protocols on-demand and proactive protocols. The authors introduce an attack and test reactive routing protocols widely known in the literature as AODV and DSR. They analyze a Secure Neighbor Detection scheme and integrate it with an On-Demand Protocols: AODV and DSR. They implement 100 nodes in a 1000 \(\times\) 1000 array under a defined topology and study metrics such as valid routes and overhead. As in our work, the authors have a fixed topology in order to control the system variables, however, we propose a greater number of performance metrics in order to have a broader perspective of the effects on the network before the attack and after the mitigation scheme. Due to the fact that ad hoc mobile networks constantly change, this makes them vulnerable to attacks, specifically jamming. In [27] the authors analyze performance for known protocols in sensor networks and study the impact of jamming and propose a way to mitigate it. One of the main problems in networks with mobility and unstable links is the routing of information. That is why, as in our work, improving the efficiency of the routing protocol is a great challenge for communications. The authors analyze Physical and Virtual Jamming and perform a bibliographic review of the attacks and routing protocols studied in wireless networks, and here they include AODV and DSR protocols.