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The Future Internet of Things: Secure, Efficient, and Model-Based

Joshua E. Siegel, Sumeet Kumar, Sanjay E. Sarma
2018 IEEE Internet of Things Journal  
We outline five architectural elements and consider the key concepts of the "data proxy" and the "cognitive layer."  ...  The data proxy uses system models to digitally mirror objects with minimal input data, while the cognitive layer applies these models to monitor the system's evolution and to simulate the impact of commands  ...  Joint optimization of these sensors' sampling rates in the context of maximizing the QoD allows for significant resource cost reductions while maintaining state estimate accuracy. B.  ... 
doi:10.1109/jiot.2017.2755620 fatcat:ucsemja72nglbfods6ani6epgq

The Mobile-Agent Framework for Collaborative Processing in Sensor Networks [chapter]

Teja Phani Kuruganti, Hairong Qi, Yingyue Xu
2004 Distributed Sensor Networks  
In order to estimate the track, each new sensor measurement is combined with the current estimate to improve the estimation accuracy.  ...  Figure 41 . 4 . 414 The effect of data size versus mobile agent size: (a) execution time; (b) energy consumption.  ... 
doi:10.1201/9780203487068.ch41 fatcat:kui3f377mnh23p47vav4uf2xru

From Pressure to Path

Bo-Jhang Ho, Paul Martin, Prashanth Swaminathan, Mani Srivastava
2015 Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments - BuildSys '15  
This work also brings to bear a more nefarious side effect of pressure-based path estimation: a mobile application can, without consent and without notifying the user, use pressure data to accurately detect  ...  We further analyze the ability to predict driving trajectories in terms of the variance in barometer pressure and geographical elevation, demonstrating cases in which more than 80% of paths can be accurately  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the above-mentioned funding agencies.  ... 
doi:10.1145/2821650.2821665 pmid:29503981 pmcid:PMC5831566 dblp:conf/sensys/Ho0SS15 fatcat:k5t2i44nyneedpa6en67oatzne

An Energy-Efficient Target Tracking Framework in Wireless Sensor Networks

Zhijun Yu, Jianming Wei, Haitao Liu
2009 EURASIP Journal on Advances in Signal Processing  
The distributed processing algorithm is based on mobile agent computing paradigm and sequential Bayesian estimation.  ...  Furthermore, we present an attraction force function to handle the mobile agent migration planning problem, which is a combination of the node residual energy, useful information, and communication cost  ...  Acknowledgments This work was supported by the Key Project of Shanghai Science and Technology Committee, China (no. 07dz15011).  ... 
doi:10.1155/2009/524145 fatcat:nptfgitizjeulnl4fbw6lh4gne

Designing a Better Shopbot

Alan L. Montgomery, Kartik Hosanagar, Ramayya Krishnan, Karen B. Clay
2004 Management science  
This utility model considers the intrinsic value of the product and its attributes, the disutility from waiting, and the cognitive costs associated with evaluating the offers retrieved.  ...  These shopbots automatically search a large number of vendors for price and availability. Typically a shopbot searches a predefined set of vendors and reports all results.  ...  Other research focuses on the design of mobile agents in environments characterized by low bandwidth and weak clients (Pham and Karmouch 1998) .  ... 
doi:10.1287/mnsc.1030.0151 fatcat:zpgnyob2ebcrjfqwmwlk54jzna

MinHash hierarchy for privacy preserving trajectory sensing and query

Jiaxin Ding, Chien-Chun Ni, Mengyu Zhou, Jie Gao
2017 Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks - IPSN '17  
The MinHash hierarchy has a total of near linear storage, linear construction cost, and logarithmic update cost. The cost of a popular path query is logarithmic in the number of checkpoints.  ...  The checkpoints detect the appearances of mobile entities in the proximity, meanwhile, employ the MinHash signatures to record the set of mobile entities passing by.  ...  The proposed method navigates through a variety of design objectives including low data collection cost and highly efficient queries as well as preserving cumulative group behavior while protecting individual  ... 
doi:10.1145/3055031.3055076 dblp:conf/ipsn/DingNZG17 fatcat:hinpuio5vnc67ansxh7pt35i44

Complexity of Deep Convolutional Neural Networks in Mobile Computing

Saad Naeem, Noreen Jamil, Habib Ullah Khan, Shah Nazir
2020 Complexity  
Additionally, we also review some extra recommendations to make the process work for mobile devices as well.  ...  Finally, at the third stage, it employs Huffman encoding algorithm to deal with the storage issue of the remaining weights.  ...  is adjusted to arrive at the optimal compression policy without any loss of accuracy but mostly this might not be the case as most of the times the agent is working under some sort of time or space constraints  ... 
doi:10.1155/2020/3853780 doaj:3e76441623df43afb072453ede90ef27 fatcat:nksoumtkovdephctfakbtmf5cm

User-Centric Evolution Of Multimedia Content Description

Anastasios Doulamis
2006 Zenodo  
Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006  ...  In this paper, system reconfiguration is performed using a mobile agent scheme. Mobile agents have the ability of migrating autonomously from node to node, while performing various tasks.  ...  Therefore, a multi-layer mobile agent reconfiguration is achieved.  ... 
doi:10.5281/zenodo.52803 fatcat:hfowyfcrgbgb3fphjytsvyuple

A low-memory alternative for time-dependent Dijkstra

Simon Van den Eynde, Jeroen Verbrugghe Pieter Audenaert, Ben Derudder, Didier Colle, Mario Pickavet
2020 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)  
While the time-dependent variant of Dijkstra's algorithm (TD-Dijkstra) can solve the routing problem optimally, it requires a large amount of memory.  ...  Time-dependent routing algorithms are a fundamental tool for calculating the fastest routes in road networks since the travel time of each road varies by departure time, due to congestion.  ...  The 2014 dataset was provided by Be-Mobile for research purposes. At the time of publication, they have already significantly advanced their datasets.  ... 
doi:10.1109/itsc45102.2020.9294640 fatcat:kbtlmf5tqje6dkgwnn4pynjyf4

Increased ranging capacity using Ultrawideband direct-path pulse signal strength with dynamic recalibration

Brandon Dewberry, William Beeler
2012 Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium  
Direct waveform scanning in each UWB transceiver allows coarse estimation of distance through relative signal strength measure of the earliest, most direct path pulse.  ...  This problem can be overcome through occasional, as-needed precise two-way Time-of-Flight (TOF) ranging which can provide periodic dynamic recalibration of the Coarse Range Estimate (CRE).  ...  The lower plot (6b) shows the estimated range covariance, which is actively limited by a dynamic threshold adjusted as a function of distance. Figure 7 . 7 Mean range error versus PRM ratio.  ... 
doi:10.1109/plans.2012.6236843 fatcat:gzcfi7atsfgclkcpbw52pdw4ii

Infusing trust in indoor tracking

Ryan Rybarczyk, Rajeev Raje, Mihran Tuceryan
2016 Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems - DEBS '16  
We first outline how classification of sensors is achieved in a dynamic manner and then how the accuracy can be discerned from this classification in an effort to properly identify the trust of a tracking  ...  With the recent proliferation of mobile devices, specifically those with many onboard sensors, this challenge has increased in both complexity and scale.  ...  With Accuracy and Responsiveness-guided Selection The empirical data regarding the actual versus the estimate error encountered by the system is shown in Table 4 .  ... 
doi:10.1145/2933267.2933538 dblp:conf/debs/RybarczykRT16 fatcat:bakg7azzrrh7dhumhgato45oqa

Network Management of Predictive Mobile Networks [article]

Stephen F. Bush and Victor S. Frost and Joseph B. Evans
1999 arXiv   pre-print
Simultaneously, mobile communication networks are being developed with predictive location and tracking mechanisms. The interactions and synergies between these systems present a new set of problems.  ...  There is a trend toward the use of predictive systems in communications networks.  ...  All the required information to maintain the cost versus accuracy at a desired level is provided by the predictive network management system.  ... 
arXiv:cs/9904013v1 fatcat:uyiui2rhofaxhpd2t64l6l6kry

Using Feedback in Collaborative Reinforcement Learning to Adaptively Optimize MANET Routing

J. Dowling, E. Curran, R. Cunningham, V. Cahill
2005 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
Simulation results show how feedback in the selection of links by routing agents enables SAMPLE to adapt and optimize its routing behavior to varying network conditions and properties, resulting in optimization  ...  To address this problem, we propose collaborative reinforcement learning (CRL) as a technique that enables groups of reinforcement learning agents to solve system optimization problems online in dynamic  ...  Secondly, a connection cost model, , provides the estimated network cost of the attempted delegation of the DOP from a local agent to a neighboring agent.  ... 
doi:10.1109/tsmca.2005.846390 fatcat:6ogbtbtmkfcjvakixrgyb43yni

Multiagent Based Multipath Routing In Wireless Sensor Networks

Vidya S. Bennur, Sadashiv S. Shirabur, Ashok V. Sutagundar
2014 International Journal of Wireless & Mobile Networks  
The performance of the proposed scheme is evaluated in terms of performance parameters such as localization error, network lifetime, energy consumption, cost factor, packet delivery ratio, and latency.  ...  This paper proposes a Multiagent Based Multipath Routing (MBMR) using a set of static and mobile agents by employing localization technique.  ...  the mobile agents.  ... 
doi:10.5121/ijwmn.2014.6207 fatcat:c4iftju7grexpboo32qyk6zrma

An Overview on Integrated Localization and Communication Towards 6G [article]

Zhiqiang Xiao, Yong Zeng
2020 arXiv   pre-print
in various ways such as channel estimation, beam alignment, medium access control, routing, and network optimization.  ...  While the 5G cellular system is being deployed worldwide, researchers have started the investigation of the 6G mobile communication networks.  ...  of foci, i.e. p 1 versus p 2 and p 1 versus p 3 .  ... 
arXiv:2006.01535v1 fatcat:s6jzbwogdrd73psev5ukj5oao4
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