Network Architecture for Distributed Computation in Wireless Sensor Networks

2015 ◽  
Author(s):  
Tejaswini Devanaboyina ◽  
Deepti Singhal ◽  
Rama Murthy Garimella
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Distributed Computation ◽  
Wireless Sensor

scholarly journals An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection

2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Forest Fire ◽  
Forest Fires ◽  
Network Architecture ◽  
Resource Constraints ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Fire Monitoring

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2016 ◽  
pp. 79-114
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2020 ◽  
pp. 372-399
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

Distributed Computation in Wireless Sensor Networks

2015 ◽  
Vol 4 (3) ◽  
pp. 14-32 ◽  
Author(s):  
Tejaswini Devanaboyina ◽  
Balakrishna Pillalamarri ◽  
Rama Murthy Garimella
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Transport System ◽  
Vehicular Ad Hoc Networks ◽  
Distributed Computation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Recursive Functions ◽  
User Friendly ◽  
Primitive Recursive

Wireless Sensor Networks are used to perform distributed sensing in various fields like health, military, home etc where the sensor nodes communicate among themselves and do distributed computation over the sensed values to identify the occurrence of an event. The architecture for distributed computation of primitive recursive functions and median is presented in this paper. This paper assumes the no memory computational model of sensor nodes; in the architecture for primary recursive functions i.e. the sensor nodes only have two registers. This assumption is not made for the computation of median. This paper also explores the applications of wireless sensor networks in building a smart, hassle free transportation system. In purview of emerging technologies like Internet of things and Vehicular Ad Hoc networks, the transport system can be made user friendly by including itinerary planning, dynamic speed boards etc. Already research is moving in the direction of making transport system efficient and user-friendly. This paper serves as a one more step in the process of achieving it.

Study on the Hierarchical Routing Protocols for Wireless Sensor Networks

2016 ◽  
Vol 850 ◽  
pp. 43-51
Author(s):  
Sherif Moussa ◽  
Ghada Abdel Halim ◽  
Salah Ramadan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Protocols ◽  
Network Architecture ◽  
Wireless Sensor ◽  
Design Parameters ◽  
Hierarchical Routing ◽  
Network Applications ◽  
Main Challenge

Routing the sensed data is considered a main challenge in Wireless Sensor Networks (WSN) because the routing characteristics may vary depending on the network application and/or the network architecture. Since most sensor network applications work in clusters, hierarchical routing protocols have been developed to fit this network topology. This paper introduces the performance differentials for most common hierarchical routing protocols such as Low Energy Adaptive Clustering Hierarchy (LEACH) and Threshold sensitive Energy Efficient sensor Network protocol (TEEN). The design parameters of sensor networks are analyzed to present a classification and comparison of LEACH, TEEN routing protocols. The two protocols are analyzed using different mobility models using NS2 simulation tool. This comparison reveals the important features that need to be taken into consideration while designing and evaluating new routing protocols for sensor networks.

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