Dedication
发表于 2025-3-25 04:13:57
Broadcast Authentication in Sensor Networks Using Compressed Bloom Filterstly reduce the communication overhead at the cost of allocating a moderate space in each receiver. Combing with PKC computation like ECC, our scheme can guarantee the long-term security and also mitigate energy consumption. Moreover, our methods can be extend to the situation of multiple senders, offering efficient user addition and revocation.
故意钓到白杨
发表于 2025-3-25 10:00:33
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HAIRY
发表于 2025-3-25 13:18:59
Tug-of-War: An Adaptive and Cost-Optimal Data Storage and Query Mechanism in Wireless Sensor Networkzvous point, we dynamically replicate the point and float them in between query nodes and event sensor nodes according to the relative frequencies of events and queries. By carefully calculating the optimal setting, we are able to minimize the total communication costs while adapting to the environment.
开花期女
发表于 2025-3-25 16:08:10
0302-9743 e synchronization and scheduling, key establishment and authentication, compression, medium access control, code update, and mobility..978-3-540-69169-3978-3-540-69170-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
osculate
发表于 2025-3-25 21:34:33
The Foundations of Defensive Defenceial averaging, and phase-locked loops. Our HSN synchronization methodology has been implemented as a network service and tested on an experimental testbed. We show that a 6-hop heterogeneous sensor network can be synchronized with an accuracy on the order of microseconds.
Circumscribe
发表于 2025-3-26 03:57:13
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恩惠
发表于 2025-3-26 07:26:31
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antedate
发表于 2025-3-26 11:03:27
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愉快么
发表于 2025-3-26 14:47:46
Time Synchronization in Heterogeneous Sensor Networksial averaging, and phase-locked loops. Our HSN synchronization methodology has been implemented as a network service and tested on an experimental testbed. We show that a 6-hop heterogeneous sensor network can be synchronized with an accuracy on the order of microseconds.
碎石
发表于 2025-3-26 20:03:36
An Adaptive and Autonomous Sensor Sampling Frequency Control Scheme for Energy-Efficient Data Acquisic data sets, indicate a reduction in sensor sampling by up to 93%, reduction in message transmissions by up to 99% and overall energy savings of up to 87%. We also show that generally more than 90% of the collected readings fall within the user-defined error threshold.