Stochastic Channel Access in Underwater Networks With Statistical Interference Modeling

Guan, Zhonghong; Kulhandjian, Hovannes; Melodia, Tommaso

doi:10.1109/tmc.2020.2993026

Cited by 7 publications

(2 citation statements)

References 53 publications

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“…Zhu et al studied the impact of the low transmission rates and long preambles of the real acoustic modem on the random accessbased MAC and handshake-based MAC. In order to capture the effects of space-time uncertainty, Guan et al purposed a statistical physical interference model which is based on the observed interferences over passed slots [22]. This statistical model was validated by testbed experiments and used by each node to distributively select an optimal access probability, which increases the sum-throughput over multiple slots.…”

Section: Related Workmentioning

confidence: 99%

Impact and Analysis of Spatial Correlation on Slotted Based MAC in UANs

Wang

Guan

2021

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

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The propagation delay is non-negligible in underwater acoustic networks (UANs) since the propagation speed is five orders of magnitude smaller than the speed of light. In this case, space and time factors are strongly coupled to determine the collisions of packet transmissions. To this end, this paper analyzes the impact of spatial-time coupling on slotted medium access control (MAC). We find that both inter-slot and intraslot collisions may exist, and the inter-slot collision may span multiple slots. The sending slot dependent interference regions could be an annulus inside the whole transmission range. It is pointed out that there exist collision-free regions when a guard interval larger than a packet duration is used in the slot setting. In this sense, the long slot brings spatial reuse in a transmission range. However, we further find that the successful transmission probabilities and throughput are the same for the slot lengths of one packet duration and two packet durations. Simulation results show that the maximum successful transmission probability and throughput can be achieved by a guard interval less than a packet duration, which is much shorter than the existing slot setting in typical Slotted-ALOHA. Simulations also show that the spatial impact is greater for vertical transmission than for horizontal transmissions due to the longer vertical transmission range in three-dimensional UANs.

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Section: Related Workmentioning

confidence: 99%

Impact and Analysis of Spatial Correlation on Slotted Based MAC in UANs

Wang

Guan

2021

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

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“…However, various positioning errors have been incorporated into the combined TDoA and BAoA in [15] to achieve source localization. Since they've missed out on sound speed profiling (SSP), underwater acoustic channel has been derived in presence of statistical interference in [16]. It is an important step in the underwater localization because unlike radio frequency whose impermeability is mostly limited to metallic surfaces, acoustic signal faces absorption, reflection and attenuation from any solid material surface.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Node-Metastasis in Sparse Underwater Acoustic Sensor Networks for Localization Under Acoustically Stratified Malicious Node Conditions

Prateek¹,

Kumar

Pandey

et al. 2021

IEEE Access

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Malicious anchor node is a serious issue in underwater sensor networks. This problem gets compounded under sparse deployment scenario. To overcome this issue, the authors present a compressed sensing theorem (abbreviated as CS-MC Theorem) which would be applicable to underwater localization. To counter malicious node behavior, CS-MC Theorem is justified through three lemmas. For underwater acoustic propagation, a specific L1-norm minimization method is derived. It describes the condition for unique localization of target by discretizing the target search space. Malicious node is identified by inserting the anchor nodes into the discretized grid. An insertion vector concept is introduced to determine the extent of node metastasis. Derivations are performed to prove the mathematical basis of the proposed algorithm under acoustically stratified and unstratified scenarios. Numerical results establish the feasibility of CS-MC algorithm for sparse underwater acoustic sensor network.

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