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The capacity to transmit and receive data packets allows both information and control to be shared among sensor nodes but also to perform cooperative tasks, all based on different algorithms that are being speci cally designed for such networks. Some of the classes of algorithms for WSNs are brie y described in the following: r Centralized algorithms execute on a central node and usually bene t from a global network knowledge. This type of algorithm is not very common in WSNs because the cost of acquiring a global network knowledge is usually unfeasible in most WSNs. r Distributed algorithms are related to different computational models. In a WSN, the typical computational model is represented by a set of computational devices (sensor nodes) that can communicate among themselves using a message-passing mechanism. Thus, a distributed algorithm is an algorithm that executes on different sensor nodes and uses a message-passing technique. r Localized algorithms comprise a class of algorithms in which a node makes its decisions based on local and limited knowledge instead of a global network knowledge. Thus locality usually refers to the node s vicinity [1]. Algorithms for WSNs may also have some speci c features such as selfcon guration and self-organization, depending on the type of the target application. Self-con guration means the capacity of an algorithm to adjust its operational parameters according to the design requirements. For instance, whenever a given energy value is reached, a sensor node may reduce its transmission rate. Self-organization means the capacity of an algorithm to autonomously adapt to changes resulted from external interventions, such as topological changes (due to failures, mobility, or node inclusion) or reaction to a detected event, without the in uence of a centralized entity.

[ Team LiB ]

1.2 WIRELESS SENSOR NETWORKS: AN ALGORITHMIC PERSPECTIVE In the following, we present an overview of some algorithms for basic services (that can be used by other algorithms), data communication, management functions, applications, and data fusion. 1.2.1 Basic Services Some of the basic services that can be employed by other algorithms in wireless sensor networks are localization, node placement, and density control. Localization. The location problem consists in nding the geographic location of the nodes in a WSN, which can be computed by a central unit [2] or by sensor nodes in a distributed manner [3 8]. Essentially, the location discovery can be split in two stages: distance estimation and location computation [4]. Usually, the distance between two

Employee relations. First and foremost, the employer is holding an asset of the employee whether it is a 401(k) account balance or the accrued benefit in a defined benefit plan. Asset management. Employers must invest these assets in a productive manner. Specific rules regulate. Retiree relations. If your retirees and other inactive employees still participate in your plan, you must continue to take their needs into consideration as you manage the plan. These people no longer have a 1

[ Team LiB ]

Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287-8809

2.1 INTRODUCTION Wireless sensor networks (WSNs) have emerged as an important new class of computation that embeds computing in the physical world. To date, most of the work has focused on homogeneous WSNs, where all of the nodes in the network are of the same type. However, the continued advances in miniaturization of processors and in low-power communications combined with mass-produced sensors have enabled the development of a wide variety of nodes. When more than one type of node is integrated into a WSN, it is called heterogeneous. While many of the existing civilian and military applications of heterogeneous wireless sensor networks (H-WSNs) do not differ substantially from their homogeneous counterparts, there are compelling reasons to incorporate heterogeneity into the network. These include: r r r r r r Improving the scalability of WSNs. Addressing the problem of nonuniform energy drainage. Taking advantage of the multiple levels of delity available in different nodes. Reducing energy requirements without sacri cing performance. Balancing the cost and functionality of the network. Supporting new and higher-bandwidth applications.

Eclipse is a universal tool platform, an open extensible integrated development environment (IDE) for anything and nothing in particular Eclipse represents one of the most exciting initiatives hatched from the world of application development in a long time, and it has the considerable support of the leading companies and organizations in the technology sector Eclipse is gaining widespread acceptance in both the commercial and academic arenas The Eclipse Series from Addison-Wesley is the definitive series of books dedicated to the Eclipse platform Books in the series promise to bring you the key technical information you need to analyze Eclipse, high-quality insight into this powerful technology, and the practical advice you need to build tools to support this evolutionary Open Source platform Leading experts Erich Gamma, Lee Nackman, and John Wiegand are the series editors Titles in the Eclipse Series Kent Beck and Erich Gamma, Contributing to Eclipse, 0-321-20575-8 Frank Budinsky David Steinberg Ed Merks Ray Ellersick and Timothy J Grose, Eclipse Modeling Framework, 0-131-42542-0 Eric Clayberg and Dan Rubel, Eclipse: Building Commercial-Quality Plug-Ins 0-321-22847-2 , For more information on books in this series visit wwwawprofessionalcom/series/eclipse