01-08-2012, 03:04 PM
WISENET-Wireless Sensor Network
Wireless Sensor Network.docx (Size: 1.34 MB / Downloads: 68)
. INTRODUCTION
OVERVIEW OF THE PROJECT
Wireless Sensor Network has faced several challenges. These challenges have a direct impact on the complexity of the protocols and on energy consumption. To solve we built a protocol that implements all the details of our backbone construction obligation.We have run several experiments using different network parameters and configurations. BEES can help mitigate many of the typical challenges inherent to sensor networks including sensor localization, clustering, and data aggregation, among others.
Our proposed structure is constructing a network protocol called BEES. It provides a virtual infrastructure that allows the sensors to acquire coarse-grain location awareness and promotes dynamic clustering. It selects a backbone sensor which plays a crucial rule in data aggregation, workforce selection, task management, leader election, duty cycle scheduling.
NEED FOR THE PROJECT
Sensor networks have their own unique aspect that set them apart from other types of networks. The ad-hoc nature of deployment, location unawareness, modest non-renewable energy budget, limited computing and communication capabilities, along with the dynamically changing topology induced by the sleep-awake cycles are only few examples of the challenges faced by sensor networks design.Rather than solving each of these problems individually, facing the same challenges each time.
OBJECTIVE OF PROJECT
We construct a network protocol called BEEStechnology to overcome all the problems stated above. It provides a virtual infrastructure that allows the sensors to acquire coarse-grain location awareness and promotes dynamic clustering. It selects a backbone sensor which plays a crucial rule in workforce selection, data aggregation, task management, duty cycle scheduling, and leader election.
SCOPE OF PROJECT
• In Wireless Sensor Network several techniques have been proposed in the literature to address some of the fundamental problems faced by sensor network design.
• Most of the proposed techniques attempt to solve one problem in isolation from the others; hence protocol designers have to face the same common challenges again and again. This, in turn, has a direct impact on the complexity of the protocols and on energy consumption.
• Instead of using this approach we propose BEES, a lightweight bio-inspired backbone construction protocol that can help mitigate many of the typical challenges in sensor networks by allowing the development of simpler network protocols.
LITERATURE SURVEY
Literature survey is the documentation of a comprehensive review of the published and unpublished work from secondary sources data in the areas of specific interest to the researcher. The researcher could start the literature survey even as the information from the unstructured and structured interviews is being gathered.
CONSTRUCTION AND MAINTENANCE OF WIRELESS MOBILE BACKBONE NETWORKS
Abstract
A novel hierarchical wireless networking approach in which some of the nodes are more capable than others. In such networks, the more capable nodes can serve as Mobile Backbone Nodes and provide a backbone over which end-to-end communication can take place. Our approach consists of controlling the mobility of the Backbone Nodes in order to maintain connectivity. We formulate the problem of minimizing the number of backbone nodes and refer to it as the Connected Disk Cover (CDC) problem.
Introduction
WIRELESS Sensor Networks (WSNs) and Mobile Ad Hoc Networks (MANETs) can operate without any physical infrastructure. Yet, it has beenshown that it is sometimes desirable to construct a virtual backboneon which most of the multi-hop traffic will be routed. If all nodes have similar communication capabilities andsimilar limited energy resources, the virtual backbone maypose several challenges. In addition, the virtual backbone cannot deal with network partitions resulting from the spatial distribution and mobility of the nodes.
Our approach is somewhat different from the previous works, since we focus on controlling the mobilityof the more capable nodes in order to maintain network connectivity and to provide a backbone for reliable communication.
A Mobile Backbone Network is composed of two types of nodes. The first type includesstatic or mobile nodes with limited capabilities. We refer to them as Regular Nodes(RNs). The second type includes mobile nodes with superior communication, mobility, and computation capabilities as well as greater energy resources. We refer to them as MobileBackbone Nodes(MBNs). The main purpose of the MBNs is to provide a mobile infrastructure facilitating network-wide communication.
Problem formulation
We consider a set of Regular Nodes(RNs) distributed in the plane and assume that a set of Mobile BackboneNodes(MBNs) has to be deployed in the plane. We denote by N the collection of Regular Nodes{1, 2 , . . . , n}, by M = {d1, d2 , . . . , dm} the collection of MBNs, and by dij the distance between nodes i and j. The locations of the RNs are denoted by the x − y tuples (ix, iy) ∀i. We assume that the RNs and MBNs have both a communication channel (e.g. for data) and a low-rate control channel. For the communication channel, we assume the disk connectivity model. Namely, an RN i can communicate bidirectional with another node j (i.e. an MBN) if the distance between i and j, dij ≤ r.
Wireless Sensor Network.docx (Size: 1.34 MB / Downloads: 68)
. INTRODUCTION
OVERVIEW OF THE PROJECT
Wireless Sensor Network has faced several challenges. These challenges have a direct impact on the complexity of the protocols and on energy consumption. To solve we built a protocol that implements all the details of our backbone construction obligation.We have run several experiments using different network parameters and configurations. BEES can help mitigate many of the typical challenges inherent to sensor networks including sensor localization, clustering, and data aggregation, among others.
Our proposed structure is constructing a network protocol called BEES. It provides a virtual infrastructure that allows the sensors to acquire coarse-grain location awareness and promotes dynamic clustering. It selects a backbone sensor which plays a crucial rule in data aggregation, workforce selection, task management, leader election, duty cycle scheduling.
NEED FOR THE PROJECT
Sensor networks have their own unique aspect that set them apart from other types of networks. The ad-hoc nature of deployment, location unawareness, modest non-renewable energy budget, limited computing and communication capabilities, along with the dynamically changing topology induced by the sleep-awake cycles are only few examples of the challenges faced by sensor networks design.Rather than solving each of these problems individually, facing the same challenges each time.
OBJECTIVE OF PROJECT
We construct a network protocol called BEEStechnology to overcome all the problems stated above. It provides a virtual infrastructure that allows the sensors to acquire coarse-grain location awareness and promotes dynamic clustering. It selects a backbone sensor which plays a crucial rule in workforce selection, data aggregation, task management, duty cycle scheduling, and leader election.
SCOPE OF PROJECT
• In Wireless Sensor Network several techniques have been proposed in the literature to address some of the fundamental problems faced by sensor network design.
• Most of the proposed techniques attempt to solve one problem in isolation from the others; hence protocol designers have to face the same common challenges again and again. This, in turn, has a direct impact on the complexity of the protocols and on energy consumption.
• Instead of using this approach we propose BEES, a lightweight bio-inspired backbone construction protocol that can help mitigate many of the typical challenges in sensor networks by allowing the development of simpler network protocols.
LITERATURE SURVEY
Literature survey is the documentation of a comprehensive review of the published and unpublished work from secondary sources data in the areas of specific interest to the researcher. The researcher could start the literature survey even as the information from the unstructured and structured interviews is being gathered.
CONSTRUCTION AND MAINTENANCE OF WIRELESS MOBILE BACKBONE NETWORKS
Abstract
A novel hierarchical wireless networking approach in which some of the nodes are more capable than others. In such networks, the more capable nodes can serve as Mobile Backbone Nodes and provide a backbone over which end-to-end communication can take place. Our approach consists of controlling the mobility of the Backbone Nodes in order to maintain connectivity. We formulate the problem of minimizing the number of backbone nodes and refer to it as the Connected Disk Cover (CDC) problem.
Introduction
WIRELESS Sensor Networks (WSNs) and Mobile Ad Hoc Networks (MANETs) can operate without any physical infrastructure. Yet, it has beenshown that it is sometimes desirable to construct a virtual backboneon which most of the multi-hop traffic will be routed. If all nodes have similar communication capabilities andsimilar limited energy resources, the virtual backbone maypose several challenges. In addition, the virtual backbone cannot deal with network partitions resulting from the spatial distribution and mobility of the nodes.
Our approach is somewhat different from the previous works, since we focus on controlling the mobilityof the more capable nodes in order to maintain network connectivity and to provide a backbone for reliable communication.
A Mobile Backbone Network is composed of two types of nodes. The first type includesstatic or mobile nodes with limited capabilities. We refer to them as Regular Nodes(RNs). The second type includes mobile nodes with superior communication, mobility, and computation capabilities as well as greater energy resources. We refer to them as MobileBackbone Nodes(MBNs). The main purpose of the MBNs is to provide a mobile infrastructure facilitating network-wide communication.
Problem formulation
We consider a set of Regular Nodes(RNs) distributed in the plane and assume that a set of Mobile BackboneNodes(MBNs) has to be deployed in the plane. We denote by N the collection of Regular Nodes{1, 2 , . . . , n}, by M = {d1, d2 , . . . , dm} the collection of MBNs, and by dij the distance between nodes i and j. The locations of the RNs are denoted by the x − y tuples (ix, iy) ∀i. We assume that the RNs and MBNs have both a communication channel (e.g. for data) and a low-rate control channel. For the communication channel, we assume the disk connectivity model. Namely, an RN i can communicate bidirectional with another node j (i.e. an MBN) if the distance between i and j, dij ≤ r.