Aims and Goals of the Book

The aim of this book is to fill the gap in current literature on the synergetic approaches integrating advanced data management and wireless networking techniques. In particular, we will systematically summarize existing network aware sensor data management methods, and elaborate on a comprehensive network-aware taxonomy for efficient interrogation of data intensive wireless sensor environments.

The book is planned to be self-contained and can be used both as an introduction to the subject for students and researchers entering this area, as well as a reference for experienced professionals.

Table of Contents with a rough page estimate

Chapter 1: Introduction (20 pages)

This chapter will introduce problem of efficient query processing in resource constrained data intensive wireless sensor environments. The intentions of Chapters 2-4 will be to provide a tutorial background with sufficient breadth and depth for understanding the rest of the book.

Chapter 2: Wireless Sensor Devices (30 pages)

This chapter will consider basic organization and key technical characteristics of sensor devices, and elaborate on several specific and notably different examples of sensor nodes. We will discuss the state of the art, commercially available products as well as expected capabilities of devices in the future.

Chapter 3: Wireless Sensor Networks – Physical and MAC Layers (40 pages)

This chapter will provide the theoretical essentials of the lower layers of sensor networks. We will discuss modulation (FSK all the way to UWB), radio propagation (path-loss and fading) and battery performance models in general as they are related to sensor networks. We will also consider the specific physical and MAC layer schemes in sensor network standards such as 802.15.4.

Chapter 4: Wireless Sensor Networks – Networking and Higher Layers (40 pages)

This chapter introduces service establishment, routing, topology control and data aggregation aspects of wireless sensor networks.

Chapter 5: Data Intensive Sensor Applications (40 pages)

This chapter will review and analyze specific data management requirements for Data-Intensive Sensor Applications. It will cover notable cases studies in DISA, such as non-intrusive Structural Health Monitoring and consider their impact on the high utility of the Network Aware Sensor Data Management.

Chapter 6: Taxonomy of Network Aware Sensor Data Management (25 pages)

This chapter will introduce basic taxonomy of Network Aware Sensor Data Management in terms of the degree to which the query processing layer utilizes information about underlying sensor network. It ranges from application-driven network interrogation patterns to network-aware query optimization that utilizes information about lower network layers.

Chapter 7: Application Awareness and Query-Driven Routing (40)

In this chapter, the fundamental questions of building a query layer on top of a network of sensors will be examined in detail. The emphasis is on energy savings and its effects on quality of service (QoS), such as network lifetime and coverage, and on quality of data (QoD), such as relative error, when acquiring data and processing queries.

Chapter 8: Collision-Aware Sensor Data Delivery (40 pages)

Packet collisions and retransmissions causes considerable performance degradation of data intensive sensornets. This chapter consider collision-aware data delivery that addresses above problem utilizing trade-offs between sensor query processing and Media Access Control (MAC) layer.

Chapter 9: Network-Aware Query Optimization (40 pages)

The alternative solutions in Network-Aware Data Management become non-obvious as the scale and topological complexity of sensornets increase. In this chapter we consider Network Aware Query Optimization, - a group of Network Aware Data Management techniques that apply database-like query optimization to utilize the information about how the lower network layers operate in the query processing.

Chapter 10: Mobility Awareness (35 pages)

This chapter will explore how Network-Aware Data Management Techniques facilitate data delivery in mobile sensor networks. In general, mobile sensor nodes consume extra energy and introduce extra data processing delay. However, by reducing the transmission range and data stream sizes, they are also capable of reducing the overall query time and energy consumption. We will consider different techniques (e.g., multi-criteria optimization) to capture the mobility trade-offs.

Chapter 11: Conclusion: Prospects of Network Aware Sensor Data Management (20 pages)

This chapter will compare the considered techniques with existing wireless network standards and extend the expected utility of Network Aware Sensor Data Management to future advanced wireless sensor environments (e.g., ultra-wide band  networks)

Please, email your comments to vladimir@sis.pitt.edu