DESIGN AND IMPLEMENTATION OF QUERY ROUTING OPTIMIZATION IN SENSOR COMMUNICATION NETWORK

ABSTRACT

Interest in large-scale sensor networks for both civilian and military applications is burgeoning. The deployment of such networks will require new approaches in resource

discovery, query processing and data routing. This paper presents a framework and some analytic results for query satisfaction and data routing in networks consisting of

clients, sensors and data filtering/fusion servers. In this model, multiple clients pose queries that are satisfied by processing a set of sensor data streams through a set of

filters or fuselets. Fuselets are lightweight data fusion algorithms that can be deployed in a network environment. The queries can have common subexpressions

(sub-queries) that should be reused by multiple clients if possible and appropriate. Moreover, effective routing of data streams from sensors to clients requires routing the streams through network nodes that can implement the required filtering/fusion operations. We formulate these problems quantitatively and propose a dynamic programming based solution using sensor-fuselet location and performance tables. The framework is preliminary in that many details and variations are abstracted or ignored. However, at the end of the paper we discuss several directions that can be explored to make these preliminary results more relevant to real scenarios.

TABLE OF CONTENTS

TITLE PAGE

CERTIFICATION

DEDICATION

ACKNOWLEDGEMENT

ABSTRACT

TABLE OF CONTENTS

CHAPTER ONE

INTRODUCTION

1.1 STATEMENT OF PROBLEM

1.2 AIMS AND OBJECTIVE

1.3 PURPOSE OF STUDY

1.4 AIMS AND OBJECTIVES OF STUDY

1.5 SCOPE OF THE STUDY

1.6 LIMITATION OF THE STUDY

1.7 DEFINITION OF TERMS

CHAPTER TWO

2.0 LITERATURE REVIEW

CHAPTER THREE

METHODOLOGY FOR FACT FINDING AND DETAILED DISCUSSION OF THE SUBJECT MATTER

CHAPTER FOUR

THE FUTURE, IMPLICATIONS AND CHALLENGES OF THE SUBJECT MATTER FOR THE SOCIETY

CHAPTER FIVE

SUMMARY, RECOMMENDATION AND CONCLUSION

REFERENCES

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APA

LB3KrQR5c0006fde3c696.03592209, X. (2018). DESIGN AND IMPLEMENTATION OF QUERY ROUTING OPTIMIZATION IN SENSOR COMMUNICATION NETWORK. Afribary. Retrieved from https://beta.afribary.com/works/design-and-implementation-of-query-routing-optimization-in-sensor-communication-network-8787

MLA 8th

LB3KrQR5c0006fde3c696.03592209, XuZJAx35c0006fde31d75.71658929 "DESIGN AND IMPLEMENTATION OF QUERY ROUTING OPTIMIZATION IN SENSOR COMMUNICATION NETWORK" Afribary. Afribary, 29 Jan. 2018, https://beta.afribary.com/works/design-and-implementation-of-query-routing-optimization-in-sensor-communication-network-8787. Accessed 24 Apr. 2025.

MLA7

LB3KrQR5c0006fde3c696.03592209, XuZJAx35c0006fde31d75.71658929 . "DESIGN AND IMPLEMENTATION OF QUERY ROUTING OPTIMIZATION IN SENSOR COMMUNICATION NETWORK". Afribary, Afribary, 29 Jan. 2018. Web. 24 Apr. 2025. < https://beta.afribary.com/works/design-and-implementation-of-query-routing-optimization-in-sensor-communication-network-8787 >.

Chicago

LB3KrQR5c0006fde3c696.03592209, XuZJAx35c0006fde31d75.71658929 . "DESIGN AND IMPLEMENTATION OF QUERY ROUTING OPTIMIZATION IN SENSOR COMMUNICATION NETWORK" Afribary (2018). Accessed April 24, 2025. https://beta.afribary.com/works/design-and-implementation-of-query-routing-optimization-in-sensor-communication-network-8787

DESIGN AND IMPLEMENTATION OF QUERY ROUTING OPTIMIZATION IN SENSOR COMMUNICATION NETWORK

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