This paper addresses the problem of resource allocation in sensor networks. We are
concerned with how to allocate limited energy, radio bandwidth, and other resources to …

Preserving the excellence and accessibility of its best-selling predecessor, this second
edition once again provides all the fundamentals and applications in one complete, self …

In wireless sensor networks (WSNs), the sensed data by sensors need to be gathered, so
that one very important application is periodical data collection. There is much effort which …

Slepian-Wolf coding is a promising distributed source coding technique that can completely
remove the data redundancy caused by the spatially correlated observations in wireless …

In this paper, an efficient quality of service (QoS)-constrained data aggregation and
processing approach for distributed wireless sensor networks is investigated and analyzed …

Military surveillance, home health care or assisted living, and environmental science are
three major application areas for wireless sensor networks. Revolutionary changes are …

The network traffic pattern of continuous sensor data collection often changes constantly
over time due to the exploitation of temporal and spatial data correlations as well as the …

We study the problem of scheduling packet transmissions for data gathering in wireless
sensor networks. The focus is to explore the energy-latency tradeoffs in wireless …

The problem of designing simple and energy efficient nonlinear distributed source-channel
codes is considered. By demonstrating similarities between this problem and the problem of …

We consider the problem of distributed estimation in a power constrained collaborative
wireless sensor network (WSN), where the network is divided into a set of sensor clusters …