When a jamming attack occurs, existing ad hoc routing protocols can experience significant throughput degradation and unnecessary control overhead due to the inclusion of unreliable links into routing paths. In this work, we identify which factors hinder establishment of reliable routing paths by the existing routing protocols in the face of jamming attacks. Our solution is Jamming-Aware Routing (JAR) based on OLSR protocol, which provides explicit route recovery procedures to counteract jamming attack. By establishing a reliable routing path, the proposed scheme achieves significant throughput gains as well as control overhead reduction.

In practical settings of wireless sensor networks, it is often feasible to consider heterogeneous deployments of devices with different capabilities. Under prescribed cost constraints, we analyze such heterogenous deployments and present how they impact the coverage of a sensor network including spatial correlation effect. We derive expressions for the heterogeneous mixture of devices that maximizes the lifetime coverage in both single-hop direct and multi-hop communication models. Our results show that using an optimal mixture of many inexpensive low-capability devices and some expensive high-capability devices can significantly extend the duration of a network's sensing performance, especially in a network with low spatial correlation.

We propose a new resource prediction method for the Demand Assigned Multiple Access (DAMA) scheme in satellite networks. Inaccurate prediction of future traffic causes degradation of QoS and utilization due to the long delay in satellite networks. The Dynamic Leveling Scheme (DLS) use a leveling method to modify its prediction to a discrete one to change the precision of the prediction result. This new scheme has two features: 1) It enhances the probability of successful prediction and 2) it can be applied to any type of existing prediction method. Simulations show enhanced utilization and performance of the satellite link.