Titlebook: Distributed Computing in Sensor Systems; 4th IEEE Internation Sotiris E. Nikoletseas,Bogdan S. Chlebus,Bhaskar K Conference proceedings 200

Dedication

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.

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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.

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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

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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.

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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.

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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.