Energy-Aware Self-Organization Algorithms for Wireless Sensor Networks (original) (raw)
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2017
In recent years, the use of Wireless Sensor Networks (WSN) has been widely deployed in various fields such as army, environment, health, surveillance and security ... etc. The latter are small sensor nodes that use limited energy resources and low communication and processing power to collect information in a given geographical area and transfer them to a node called sink. On this basis, several self-organization algorithms have been proposed to create different network architectures depending on the applications required in order to efficiently use the energy of these nodes to improve and increase the lifetime of the entire network and also to Minimize the energy consumption of these sensors. In this article, we will study and examine the various WSN-used self-organization algorithms, highlighting their principles, advantages and disadvantages in order to compare them using different metrics such as duration Network life, energy efficiency, complexity of the algorithm ...etc
2018
Nowadays, Wireless Sensor Networks (WSN) play a crucial role in various fields such as the army, health, the environment and so on. Emerging technologies such as the internet of things, smart applications and smart grids stimulate the deployment of autonomous, self-configuring, large-scale Wireless Sensor Networks (WSNs). These sensors which are small nodes, collect data in a wellfield and transfer it to a new sink where all data waiting to be exploited by applications (web, mobiles, ...,) are stored. These new sensors have limitations which must be taken into consideration when deploying a WSN network, especially their strictly limited energy. Thus, in order to efficiently use the energy of these nodes to improve and increase the lifetime of the entire network and reduce the energy consumed during data transmission and processing, several self-organization algorithms have been proposed to create different network architectures based on required applications. In this research, we wi...
Protocols for self-organization of a wireless sensor network
IEEE personal …, 2000
We present a suite of algorithms for self-organization of wireless sensor networks, in which there is a scalably large number of mainly static nodes with highly constrained energy resources. The protocols further support slow mobility by a subset of the nodes, energy-efficient routing, and formation of ad hoc subnetworks for carrying out cooperative signal processing functions among a set of the nodes. † This research is supported by DARPA contract number F04701-97-C-0010, and was presented in part at the 37 th Allerton Conference on Communication, Computing and Control, September 1999. ‡ Corresponding author. In this paper we describe an architecture for self-organizing wireless sensor-networks . These are wireless ad-hoc network that connect deeply embedded sensors, actuators, and processors. This combination of wireless and data networking will result in a new form of computational paradigm which is more communication centric than any other computer network seen before. Wireless sensor networks are part of a growing collection of information technology constructs which are moving away from the traditional desktop wired network architecture towards a more ubiquitous and universal mode of information connectivity .
A Data-Centric Self-organization Scheme for Energy-Efficient Wireless Sensor Networks
Lecture Notes in Computer Science, 2006
In this paper, we propose a new self-organization scheme, DICSION (Data-centrIC Self-organizatION), which can improve the energy efficiency and prolong network lifetime of wireless sensor networks. Since a large number of sensor nodes are densely deployed, neighboring nodes may be very close to each other. Therefore, we assume that sensor nodes have a high possibility to collect the duplicate data about the same event. DICSION can considerably reduce the energy consumption because a zone head only can transmit and receive a representative data to base station or neighboring zone heads after zone formation. Our performance evaluation results demonstrate that DICSION outperforms to STEM.
An investigation of self-organization in wireless sensor networks
2012
Wireless Sensor Network (WSN) is an emerging special type of ad-hoc wireless networks technology. It is usually designed for special purpose applications. WSN has its own special characteristics that differentiate it from other types of wireless networks. These differences raise new challenges to be overcome; one of them is self-organization. As in any rising domain, it is essential to specifically define the meaning of new terminologies. The terms self-organizing and self-configuring are an example of such terms that may have overlapping meaning. In this investigation, we tried to make a definition for both terms to specifically determine their role in the WSN domain, and stress on the differences between them. Consequently, we tried to show the importance of self- organization in enhancing sensor network's performance, and efficient usage of its resources. Thus, we tried to highlight the role of different networking layers in affecting self-organization to be a guideline durin...
Self-organization in sensor networks
Journal of Parallel and Distributed Computing, 2004
In an effort to better guide research into self-configuring wireless sensor networks, we discuss a technical definition of the term self-organization. We define a selforganizing system as one where a collection of units coordinate with each other to form a system that adapts to achieve a goal more efficiently. We then lay out some conditions that must hold for a system to meet this definition and discuss some examples of self-organizing systems. Finally, we explore some of the ways this definition applies to wireless sensor networks.
Self-Organization of Activity in Wireless Sensor Networks
International Journal of Distributed Sensor Networks, 2005
We propose a method for managing the spontaneous organization of sensor activity in ad hoc wireless sensor systems. The wireless sensors exchange messages to coordinate responses to requests for sensing data, and to control the fraction of sensors which are active. This method can be used to manage a variety of sensor activities. In particular, it can be used for reducing the power consumption by battery operated devices when only low resolution sensing is required, thus increasing their operation lifetimes.
A brief survey of self-organization in wireless sensor networks
Wireless Communications and Mobile Computing, 2007
Many natural and man-made systems exhibit self-organization, where interactions among components lead to system-wide patterns of behavior. This paper first introduces current, scientific understanding of self-organizing systems and then identifies the main models investigated by computer scientists seeking to apply self-organization to design large, distributed systems. Subsequently, the paper surveys research that uses models of self-organization in wireless sensor networks to provide a variety of functions: sharing processing and communication capacity; forming and maintaining structures; conserving power; synchronizing time; configuring software components; adapting behavior associated with routing, with disseminating and querying for information, and with allocating tasks; and providing resilience by repairing faults and resisting attacks. The paper closes with a summary of open issues that must be addressed before self-organization can be applied routinely during design and deployment of senor networks and other distributed, computer systems.