This text presents a modern theory of analysis, control, and optimization for dynamic
networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are …

Reliable and accurate position information is of great importance for many mass-market and
emerging applications. Network localization and navigation (NLN) is a promising paradigm …

Current data collection protocols for wireless sensor networks are mostly based on quasi-
static minimum-cost routing trees. We consider an alternative, highly-agile approach called …

We present a design of a complete and practical scheduler for the 3GPP Long Term
Evolution (LTE) downlink by integrating recent results on resource allocation, fast …

RPL, an IPv6 routing protocol for Low power Lossy Networks (LLNs), is considered to be the
de facto routing standard for the Internet of Things (IoT). However, more and more …

This paper considers the design of multiuser opportunistic packet schedulers for users
sharing a time-varying wireless channel from performance and robustness points of view …

The massive wireless networks (MWNs) enable surging applications for the Internet of
Things and cyber physical systems. In these applications, nodes typically exhibit stringent …

Network navigation is a promising paradigm for providing location awareness in wireless
environments, where nodes estimate their locations based on sensor measurements and …

The Internet-of-Things (IoT) is the paradigm where anything will be connected. There are
two main approaches to handle the surge in uplink (UL) traffic that the IoT is expected to …

This paper considers network control for wireless networks with finite buffers. We investigate
the performance of joint flow control, routing, and scheduling algorithms which achieve high …