本論文提出EcoMap，一個互動是執行框架，支援在無線感測平台上已平行方式執行之群體遠端互動。EcoMap在主機端提供了與Python命令稿語言完全相容之命令行介面(command line interface)，在此環境之上，EcoMap提供高階層的類別程式庫(class library)進行與遠端感測器的存取，以及一系列的命領與遠端感測器的互動。EcoMap將EcoExec創新的想法，利用支援函數式程式語言中的map, reduce,和filter函式，以及各種不同的同步及背景工作控制等命令的方式，由原本單顆感測器互動延伸至一群感測器互動。EcoMap透過互動式的特性鼓勵開發者於開發階段進行試驗，加快使用者對系統熟悉的速度，以及提高開發者的程式產能。

EcoMap is an execution framework that supports efficient over-the-air interactions with a network of wireless sensor nodes through parallel execution. It provides a command line interface in the full Python-based scripting environment on the host computer. A class library at a higher level is supported for the user to access the sensor network, and a set of commands are provided to perform interactive accesses. EcoMap extends the innovative ideas of EcoExec from a single node to a group of nodes by supporting efficient functional programming constructs in terms of map, reduce, and filter primitives while upporting several variants of synchrony and job control options. The interactivity features of EcoMap encourage experimentation during development and help users become familiar with how to use the system, thereby significantly increasing the productivity of WSN developers. Experimental results also show EcoMap to incur short delays, even when making major firmware changes and interacting with multiple nodes on resource-constrained wireless platforms.

Abstract
Contents
Acknowledgments
1 Introduction
1.1 Motivation
1.2 Problem Statement
1.3 Objectives
1.4 Contributions
2 Related Work
2.1 Code Dissemination
2.2 Programming Language For Sensor Networks
2.3 Shell and Scripting Systems
3 System Overview
3.1 Background
3.2 System Architecture
3.2.1 Host PC
3.2.2 Base Station
3.2.3 Wireless Sensor Node
3.3 System Execution Flow
4 Scripting Approach
4.1 Scripting Language
4.1.1 Python language
4.1.2 Node Handles
4.1.3 Group Handles
4.1.4 Functional Programming Constructs
4.2 Esh Constructs
4.2.1 Job Management in Esh
4.2.2 Scoping commands
4.3 Type Marshalling
5 Implementation Detail
5.1 Compilation and Linking
5.1.1 Compilation from Python
5.1.2 Version Control
5.2 Reprogramming and Execution Mechanism
5.2.1 Group Reprogramming of Nodes
5.2.2 Group Execution of Functions on Nodes
5.2.3 Background Job Management
6 Evaluation
6.1 Experimental Setup
6.1.1 Wireless Sensor Nodes
6.1.2 Base Station
6.1.3 Host Computer
6.2 Functional Programming
6.2.1 Reprogramming Latency
6.2.2 Round-Trip Command Execution Latency
6.3 Memory Footprint
7 Conclusions and Future Work

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