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Relaying a message from A to C shows an example of multi-hop communication in a network of three nodes. Each node, indicated by a solid dot, has a limited transmit range, as  

Relaying a message from A to C shows an example of multi-hop communication in a network of three nodes. Each node, indicated by a solid dot, has a limited transmit range, as  

Citations

... The results we present here are from a simulation of mobile agents living in a network of interconnected nodes that work cooperatively to build a map of the network. We chose a network topology consistent with related work by our colleagues [12]; the nodes in the system are modeled as radio-frequency tranceivers distributed throughout a twodimensional space. Because the nodes are relatively short-range tranceivers, this type of network is generically similar to many other common types. ...
Article
Contemporary computer networks are heterogeneous; even a single network consists of many kinds of processors and communications channels. But few programming tools embrace, or even acknowledge, this complexity. New methods and approaches are required if next-generation networks are to be configured, administered and utilized to their full potentials. The growing field of mobile agents research seeks to address problems in this domain. In this paper we describe a strategy for mapping a network using a collection of cooperating mobile agents. We present results from a simulation of such a system and discuss the relationship between diversity of the agent population and overall efficiency of the system.
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In this paper, we propose a novel kind of network that uses people instead of wires (or other communication media) to carry message packets between devices and between physical places. We will describe how this movement of people can be harnessed to allow the communication of electronic messages, albeit in a way that is relatively unreliable and unpredictable compared with traditional networks. This new kind of network infrastructure has a number of advantages, such as low cost and scalability, and opens the way for numerous new kinds of application scenarios.
Article
Dynamic enterprise systems, such as the battlefield, use self-organizing sensor network infrastructure to gather and disseminate real-time information for controlling the enterprise. Very large number of highly mobile sensor data sources and users may be scattered over a wide area with little or no fixed network support. These large surveillance sensor networks must adapt rapidly to dynamic changes in sensor nodes configuration. Dynamic query processing and target tracking through this unstructured sensor network of surveillance information sources and users must use the appropriate distributed services and network protocols to solve the problems of mobility, dispersion, weak and intermittent disconnection, dynamic reconfiguration and limited power availability. We provide three main distributed services: lookup service, composition service and dynamic adaptation service. Through a distributed implementation of these services, other application-specific network and system services can be defined spontaneously in the sensor network. They also enable dynamic adaptation of these services to incremental addition and removal of sensor nodes, device failure and degradation, migration of sensor nodes, and changing requirements in tasks and networks. When placed together impromptu, sensor nodes should immediately know about the capabilities and functions of other smart nodes and work together as a community system to perform coordinated tasks and networking functionalities.
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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998. Includes bibliographical references (p. [57]). by Maria S. Redin. S.B.and M.Eng.