Multi-layer clustering routing algorithm for wireless vehicular sensor networks

Liu, Yuhua; Xiong, Naixue; Zhao, Yanan; Vasilakos, Athanasios V.; Gao, Jingju; Jia, Ya

doi:10.1049/iet-com.2009.0164

Cited by 162 publications

(68 citation statements)

References 4 publications

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“…This is due to using the multi-hop communication to send the packet to the destination [74]. Thus, the authors in [75] proposed an approach to maximize end-to-end throughput in multi-hop WSNs with special consideration to spatial reusability of the WSNs communication media or clustering technique as in [76] in order to limit the barriers of using multi-hop WSNs. These challenges keep the door open for the future researchers to enhance the aforementioned protocols and make them appropriate for high-level degree of QoS.…”

Section: Ip-enabled Techniquesmentioning

confidence: 99%

Mobility management for IoT: a survey

Ghaleb

Subramaniam

Zukarnain

et al. 2016

J Wireless Com Network

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Internet of Thing (IoT) or also referred to as IP-enabled wireless sensor network (IP-WSN) has become a rich area of research. This is due to the rapid growth in a wide spectrum of critical application domains. However, the properties within these systems such as memory size, processing capacity, and power supply have led to imposing constraints on IP-WSN applications and its deployment in the real world. Consequently, IP-WSN is constantly faced with issues as the complexity further rises due to IP mobility. IP mobility management is utilized as a mechanism to resolve these issues. The management protocols introduced to support mobility has evolved from host-based to network-based mobility management protocols. The presence of both types of solutions is dominant but depended on the nature of systems being deployed. The mobile node (MN) is involved with the mobility-related signaling in host-based protocols, while network-based protocols shield the host by transferring the mobility-related signaling to the network entities. The features of the IoT are inclined towards the network-based solutions. The wide spectrum of strategies derived to achieve enhanced performance evidently displays superiority in performance and simultaneous issues such as long handover latency, intense signaling, and packet loss which affects the QoS for the real-time applications. This paper extensively reviews and discusses the algorithms developed to address the challenges and the techniques of integrating IP over WSNs, the attributes of mobility management within the IPv4 and IPv6, respectively, and special focus is given on a comprehensive review encompassing mechanisms, advantages, and disadvantages on related work within the IPv6 mobility management. The paper is concluded with the proposition of several pertinent open issues which are of high research value.

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Section: Ip-enabled Techniquesmentioning

confidence: 99%

Mobility management for IoT: a survey

Ghaleb

Subramaniam

Zukarnain

et al. 2016

J Wireless Com Network

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“…Many algorithms are based on green technology assumptions for ad hoc networks [22,23]. Other works are based on multilayer clusters [24], routing quality games [25], spatial reusability [26], and other solutions can be found in [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44], and complex surveys in works [45,46].…”

Section: State Of the Artmentioning

confidence: 99%

Mobility-based routing algorithm in delay tolerant networks

Kawecki

Schoeneich

2016

J Wireless Com Network

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The paper presents a routing algorithm based on the use of the mobility of the nodes in the Delay and Disruptive Tolerant Networks (DTN). DTN are characterized by temporary or permanent lack of a continuous path between the source and the destination node. The communication is done by ferrying the message by intermediate nodes based on store-carry-forward paradigm. Our routing algorithm is based on the ability to use information about node mobility and their contacts. We assume that the greater mobility of node results in higher number of contacts with other nodes and higher probability in message delivery to the destination. The proposed algorithm was simulated using The One simulation tool. We compare the performance of our algorithm and other popular routing algorithms.

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“…More or less resembles the older version of using gateways between clusters [13] have addressed the hot spot problem effectively in WSN clustering.…”

Section: Related Workmentioning

confidence: 99%

Efficient Cluster based Adaptive Routing for Wireless Sensor Network

Verma¹,

Tripathi²

2015

CAE

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Wireless Sensor network consist distributed sensors to monitor external conditions and to cooperatively pass their data through the network to a base station. Clustering is an important mechanism in wireless sensor networks for obtaining scalability and better network performance.The mail objective of this paper is to provide distributed algorithm for clustering. This paper proposed an algorithm of LEACH protocol which is intended to extend the life of the network. The proposed protocol basically has set-up and steady-state phases for each round in the protocol. Clustering through distributed method is being developed for dealing with the issues like cluster formation and network performance.

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Multi-layer clustering routing algorithm for wireless vehicular sensor networks

Cited by 162 publications

References 4 publications

Mobility management for IoT: a survey

Mobility management for IoT: a survey

Mobility-based routing algorithm in delay tolerant networks

Efficient Cluster based Adaptive Routing for Wireless Sensor Network

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