Improving wireless simulation through noise modeling

We propose modeling environmental noise in order to efficiently and accurately simulate wireless packet delivery. We measure noise traces in many different environments and propose three algorithms to simulate noise from these traces. We evaluate applying these algorithms to signal-to-noise curves in comparison to existing simulation approaches used in EmStar, TOSSIM, and ns2. We measure simulation accuracy using the Kantorovich-Wasserstein distance on conditional packet delivery functions. We demonstrate that using a closest-fit pattern matching (CPM) noise model can capture complex temporal dynamics which existing approaches do not, increasing packet simulation fidelity by a factor of 2 for good links, a factor

• Type: Conference
• Year: 2007
• Where: IPSN
• Authors: HyungJune Lee, Alberto Cerpa, Philip Levis
• Keywords: Conditional Packet Delivery, IPSN 2007, Packet Delivery, Sensor Networks, Simulate Wireless Packet