【摘 要】
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Wormhole attack is one of the most devastating threats for range-free localization in wireless sensor networks.In this paper,we evaluate three statistical estim
【机 构】
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National Engineering Laboratory for Next Generation Internet Interconnection Devices,TEDA College
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Wormhole attack is one of the most devastating threats for range-free localization in wireless sensor networks.In this paper,we evaluate three statistical estimation methods with the same network model and geographic information obtained by the DV-Hop algorithm.We analyze the limits of Minimum Mean Square Estimate(MMSE),Least Median of Squares(LMS)and Enhanced greedy Attack-Resistant MMSE(EARMMSE)and propose an improved EARMMSE with the hop-distance relationship,named EARMMSE+.Simulation results illustrate the performance of MMSE,LMS and EARMMSE+ with different anchor fraction,the length of wormhole link and the average local neighborhood and show that EARMMSE+ outperforms MMSE and LMS.
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