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A jammer is random in appearance and has large interference range leading to users' communication interruption, which is similar to PU, so multi-path route in a jammer environment should also find disjoint paths to guarantee data transmission.
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In the simulation, a jammer is launched in the first cluster (CH 21).
The classical uplink single-cell scenario is relaxed in [17] to include a jammer in the system and an iterative waterfilling algorithm is proposed.
In the morning, a Jammer driver would crank-start his mount and head out into the crisp mountain air, shattering the stillness with a grinding of gears and perhaps a blast on the air-horn.
For nodes in fixed locations, a jammer can select regions with heavier communication activity or denser connectivity to increase the probability that a random jamming pulse results in corrupting an on-going transmission.
There have been several efforts to make communication in sensor networks more robust in the presence of a jammer.
ΔS in Table 9 is found to be close to ΔS due to a jammer in a given scenario.
Table 10 demonstrates the statistical results in the presence of a jammer.
In fact, a first time offender faces up to a $1,000 fine for using a jammer in the U.S. Seems to me that an iPod is a much cheaper way to avoid hearing a fellow commuter's conversation.
Fig. 5 Throughput of the proposed scheme for various channel switching times (or channel sojourn times) in the presence of a jammer.
To understand the interactions of the jamming detection metrics (Section 2.3) and to measure the impact of a jammer in various scenarios (Section 4.2), simulations are performed as per described in Section 4. The simulation is done by using various models as discussed in Section 2.1.
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