http://www.eecs.ucf.edu/~dcm/Teaching/COT4810-Spring2011/Literature/SensorNetworksSurvey.pdf

Wireless sensor networks: a survey

http://www.csun.edu/~andrzej/COMP529-S05/papers/Mesh%20Networks%20Survey.pdf

Wireless mesh networks: a survey

In the last years, wireless sensor networks (WSNs) have gained increasing attention from both the research community and actual users. As sensor nodes are generally battery-powered devices, the critical aspects to face concern how to reduce the energy consumption of nodes, so that the network lifetime can be extended to reasonable times. In this paper we first break down the energy consumption for the components of a typical sensor node, and discuss the main directions to energy conservation in WSNs. Then, we present a systematic and comprehensive taxonomy of the energy conservation schemes, which are subsequently discussed in depth. Special attention has been devoted to promising solutions which have not yet obtained a wide attention in the literature, such as techniques for energy efficient data acquisition. Finally we conclude the paper with insights for research directions about energy conservation in WSNs.

/pdf/energy-conservation-in-wireless-sensor-networks-a-survey-1bl7d2obnm.pdf

Energy conservation in wireless sensor networks: A survey

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

Energy harvesting generators are attractive as inexhaustible replacements for batteries in low-power wireless electronic devices and have received increasing research interest in recent years. Ambient motion is one of the main sources of energy for harvesting, and a wide range of motion-powered energy harvesters have been proposed or demonstrated, particularly at the microscale. This paper reviews the principles and state-of-art in motion-driven miniature energy harvesters and discusses trends, suitable applications, and possible future developments.

/pdf/energy-harvesting-from-human-and-machine-motion-for-wireless-3lsf4oudvo.pdf

Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices

An accurate reproduction of real human movement is essential in simulations of MANETs in order to obtain meaningful performance results. Existing models capturing real world mobility features often require knowledge of the underlying dynamics of the target scenario, therefore limiting the application scope. In this paper we tackle this problem from a different perspective. Rather than considering the details of the target scenario, we extract features from a sample trace, and synthesize traces that have similar features. In particular, as human activities are often socially organized, resulting in a tendency of forming groups, we propose an N-body mobility model that captures the group forming tendency from traces of a small number of nodes, and reproduces them in mobility traces of a larger population. Through simulation we show that the N-body model is capable of synthesizing the group forming behavior similar to that observed from sample traces.

N-body

In this paper, we develop a novel wireless backhauling strategy for small-cell networks based on dynamic base station (BSs) cooperation, which we call the fog-radio access network (F-RAN) backhauling strategy. By taking advantage of fog-computing, our proposed strategy enables BSs to combine and process signals received from diverse paths, which can significantly increase the transmission efficiency of the backhaul network. We first model an F-RAN-enabled network and three existing backhauling strategies, namely, direct transmission 
, decode and forward 
, and cloud-RAN 
. We then analyze and compare the performance of these strategies. The numerical results show that our proposed strategy provides the highest throughput for cell edge users while maintaining the same performance in most of the other areas. Moreover, for dense small-cell networks with poor backhaul channels, F-RAN outperforms all other strategies.

/pdf/fog-radio-access-network-a-new-wireless-backhaul-3ow8tvumwp.pdf

Fog Radio Access Network: A New Wireless Backhaul Architecture for Small Cell Networks

A new class of time-variant Smith predictors for buffer set point control over communication networks is proposed. The new Smith predictor uses two different types of time-variant network delay models, i.e. the forward delay (modeling delay effects on the data stream) and the return delay (modeling delay effects on the buffer occupancy information.) The proposed control scheme tracks the desired buffer level, even under large delay uncertainties, abrupt delay changes and additional disturbances such as unknown buffer depletion rates. The question of stability of the resulting system will also be analyzed. Applications of the proposed scheme range from load balancing in distributed computing to congestion control in WAN networks.

A new class of Smith predictors for network congestion control

The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating under stringent constraints in computation, communication, and energy resources. This paper offers a novel solution to bridge the gap between the high accuracy demand and low resources available for range-based localization. We propose KickLoc, a fully distributed scheme, which considers the uncertainty of the distance measurements to minimize localization errors introduced from the range measurement, and leverages information from all neighboring nodes for better position estimations. Our work is evaluated via extensive simulations, with comparisons to other well-known localization schemes, and the Cramer-Rao lower bound (CRLB). In addition, we implement and evaluate the proposed system on sensor platforms with different range measurement mechanisms. The results show that this localization solution outperforms existing methods in various scenarios, while remains lightweight and suitable for small, low resources WSNs.

https://www.mdpi.com/2224-2708/8/2/26/pdf

A Lightweight Localization Solution for Small, Low Resources WSNs

Contact time (or link duration) is a fundamental factor that affects performance in Mobile Ad Hoc Networks. Previous research on theoretical analysis of contact time distribution for random walk models (RW) assume that the contact events can be modeled as either consecutive random walks or direct traversals, which are two extreme cases of random walk, thus with two different conclusions. In this paper we conduct a comprehensive research on this topic in the hope of bridging the gap between the two extremes. The conclusions from the two extreme cases will result in a power-law or exponential tail in the contact time distribution, respectively. However, we show that the actual distribution will vary between the two extremes: a power-law-sub-exponential dichotomy, whose transition point depends on the average flight duration. Through simulation results we show that such conclusion also applies to random waypoint.

/pdf/contact-time-in-random-walk-and-random-waypoint-dichotomy-in-45sfbzhme0.pdf

Mihail L. Sichitiu

Papers

N-body

Fog Radio Access Network: A New Wireless Backhaul Architecture for Small Cell Networks

A new class of Smith predictors for network congestion control

A Lightweight Localization Solution for Small, Low Resources WSNs

Contact time in random walk and random waypoint: Dichotomy in tail distribution