trust based data aggregation scheme is secure and it provides both integrity confidentiality and authenticity for homogeneous and heterogeneous networks and this scheme evaluate the malicious behavior...
several data aggregation schemes based on privacy homomorphism encryption have been designed and reviewed on wireless sensor networks. Cluster heads can exactly aggregate the cipher texts without decr...
sensor networks are energy constrained networks. Energy consumption in these networks can be reduced by processing the raw data at individual nodes through the application of suitable aggregation tech...
battery is the source of energy for sensors, one of the important issues in wireless sensor networks is the energy and network lifetime. A method to reduce energy consumption and, as a result, increas...
ZENG, WENTE. Secure Distributed Control Methodologies with Built-in Defense in Distributed Networked Control Systems. (Under the direction of Dr. Mo-Yuen Chow.) Distributed Networked Control Systems (...
Wireless sensor networks (WSNs) were originally motivated by military applications, and are becoming integral part of more and more civilian applications to improve quality of life. With current wirel...
Wireless sensor network research usually focuses on the reliable and efficient collection of data. Here, we address the next step in the traces lifetime: we aim at investigating and evaluating, by qua...
Wireless ad hoc networks were extensively studied in the past given their potential for scalability, ease of deployment, and suitability for scenarios where no infrastructure is available. Considering...
Wireless Sensor network has emerged as a promising technique that revolutionizes the way of sensing information. Dense deployed sensor nodes at a specific region are likely to transfer redundant data ...
Wireless Sensor Networks (WSNs) have emerged as an enabling technology for a variety of distributed applications. WSN middleware eases the development of these applications by providing a uniform prog...
We study the security challenges that arise in people-centric urban sensing, a new sensor-networking paradigm that leverages humans as part of the sensing infrastructure. Most prior work on sensor net...
We study the problem of communication scheduling for finite-time average-consensus in arbitrary connected networks. Viewing this consensus problem as a factorization of $\M$ by network-admissible fami...
We study the problem of aggregate querying over sensor networks where the network topology is continuously evolving. We develop scalable data aggregation techniques that remain efficient and accurate ...
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, which is well-known in ...
We present LiMoSense, a fault-tolerant live monitoring algorithm for dynamic sensor networks. This is the first asynchronous robust average aggregation algorithm that performs live monitoring, i.e., i...
We investigate the geometric properties of the communication graph in realistic low-power wireless networks. In particular, we explore the concept of the curvature of a wireless network via the cluste...
We discuss the technology detail of data aggregation in wireless sensor networks (WSNs) in this paper, which consists of three parts. First, we apply the classical K-average clustering algorithm to th...
We develop a distributed second-order proximal algorithm, referred to as SoPro, to address in-network consensus optimization. The proposed SoPro algorithm converges linearly to the exact optimal solut...
We describe VarClust, a gossip-based decentralized clustering algorithm designed to support multi-mean decentralized aggregation in energy-constrained wireless sensor networks. We empirically demonstr...
We consider a sensor network in which each sensor takes measurements, at various times, of some unknown parameters, corrupted by independent Gaussian noises. Each node can take a finite or infinite nu...