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Open AccessJournal ArticleDOI

A Survey on Routing Protocols for Large-Scale Wireless Sensor Networks

Changle Li, +3 more
- 24 Mar 2011 - 
- Vol. 11, Iss: 4, pp 3498-3526
TLDR
Insight is provided into routing protocols designed specifically for large-scale WSNs based on the hierarchical structure and a comparison of each routing protocol is conducted to demonstrate the differences between the protocols.
Abstract
With the advances in micro-electronics, wireless sensor devices have been made much smaller and more integrated, and large-scale wireless sensor networks (WSNs) based the cooperation among the significant amount of nodes have become a hot topic. “Large-scale” means mainly large area or high density of a network. Accordingly the routing protocols must scale well to the network scope extension and node density increases. A sensor node is normally energy-limited and cannot be recharged, and thus its energy consumption has a quite significant effect on the scalability of the protocol. To the best of our knowledge, currently the mainstream methods to solve the energy problem in large-scale WSNs are the hierarchical routing protocols. In a hierarchical routing protocol, all the nodes are divided into several groups with different assignment levels. The nodes within the high level are responsible for data aggregation and management work, and the low level nodes for sensing their surroundings and collecting information. The hierarchical routing protocols are proved to be more energy-efficient than flat ones in which all the nodes play the same role, especially in terms of the data aggregation and the flooding of the control packets. With focus on the hierarchical structure, in this paper we provide an insight into routing protocols designed specifically for large-scale WSNs. According to the different objectives, the protocols are generally classified based on different criteria such as control overhead reduction, energy consumption mitigation and energy balance. In order to gain a comprehensive understanding of each protocol, we highlight their innovative ideas, describe the underlying principles in detail and analyze their advantages and disadvantages. Moreover a comparison of each routing protocol is conducted to demonstrate the differences between the protocols in terms of message complexity, memory requirements, localization, data aggregation, clustering manner and other metrics. Finally some open issues in routing protocol design in large-scale wireless sensor networks and conclusions are proposed.

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Citations
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Journal ArticleDOI

A Survey on Clustering Routing Protocols in Wireless Sensor Networks

TL;DR: A comprehensive and fine grained survey on clustering routing protocols proposed in the literature for WSNs, and a novel taxonomy of WSN clustering routed methods based on complete and detailed clustering attributes are presented.
Journal ArticleDOI

A Survey on Multipath Routing Protocols for QoS Assurances in Real-Time Wireless Multimedia Sensor Networks

TL;DR: Results of a preliminary investigation into design issues affecting the development of strategic multipath routing protocols that support multimedia data in WMSNs are presented and discussed from the network application perspective.
Journal ArticleDOI

Cluster-based routing protocols in wireless sensor networks: A survey based on methodology

TL;DR: This evaluation intends to propose a new approach for examining methods by considering the methodology-based parameters such as capabilities and constraints, examined inputs and outputs in each method, type of algorithm used in the methods, the purpose of using algorithms, etc.
Journal ArticleDOI

Recent Advances in Energy-Efficient Routing Protocols for Wireless Sensor Networks: A Review

TL;DR: This paper articulate this problem and classify current routing protocols for WSNs into two categories according to their orientation toward either homogeneous or heterogeneous W SNs, further classified into static and mobile ones.
Journal ArticleDOI

Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks

TL;DR: An analytical clustering model with one-hop distance and clustering angle is given and it is demonstrated that the clustering algorithm can effectively reduce the energy consumption and increase the system lifetime.
References
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Proceedings ArticleDOI

Energy-efficient communication protocol for wireless microsensor networks

TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.

Energy-efficient communication protocols for wireless microsensor networks

TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Proceedings ArticleDOI

Directed diffusion: a scalable and robust communication paradigm for sensor networks

TL;DR: This paper explores and evaluates the use of directed diffusion for a simple remote-surveillance sensor network and its implications for sensing, communication and computation.
Journal ArticleDOI

Routing techniques in wireless sensor networks: a survey

TL;DR: A survey of state-of-the-art routing techniques in WSNs is presented and the design trade-offs between energy and communication overhead savings in every routing paradigm are studied.
Journal Article

Geography-informed Energy Conservation for Ad Hoc Routing

TL;DR: In this article, the authors proposed a geographical adaptive fidelity (GAF) algorithm that reduces energy consumption in ad hoc wireless networks by identifying nodes that are equivalent from a routing perspective and turning off unnecessary nodes, keeping a constant level of routing fidelity.
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