PRoPHET-RAIP5: A new approach to secure routing in wireless sensor networks

Mezouary, Ridouane El; Houmz, Abdellah; Jalil, Jamila; Koutbi, Mohammed El

doi:10.1109/wincom.2015.7381307

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…In PRoPHET protocol, delivery predictability is obtained based on the contact history between nodes, and a message is forwarded to a node with higher delivery predictability. 3 Although the PRoPHET protocol was not originally proposed for wireless sensor networks but for general delay/disruption tolerant network, the PRoPHET protocol was widely used for data delivery in intermittently connected wireless sensor networks, such as the work in Kaur et al, 4 Rajpoot and Kushwah, 5 Agarwal and Bhadouria, 6 and Mezouary et al 7 In Tao et al, 8 Lai et al, 9 and Soares and Rocha, 10 the PRoPHET protocol was used as a comparing protocol with the proposed protocol for wireless sensor network in intermittently connected networks. Furthermore, the PRoPHET protocol is the only routing protocol standardized as request for comment (RFC) in the Internet Research Task Force (IRTF), 3 and thus, it is regarded as a representative DTN protocol for intermittently connected networks, although it is not specialized for wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

A novel energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks

Kang

Chung

2017

International Journal of Distributed Sensor Networks

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In delay-tolerant wireless sensor networks, messages for sensor data are delivered using opportunistic contacts between intermittently connected nodes. Since there is no stable end-to-end routing path like the Internet and mobile nodes operate on battery, an energy-efficient routing protocol is needed. In this article, we consider the probabilistic routing protocol using history of encounters and transitivity protocol as the base protocol. Then, we propose an energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks, where messages are forwarded based on the node's remaining battery, delivery predictability, and type of nodes. The performance of the proposed protocol is compared with that of probabilistic routing protocol using history of encounters and transitivity and probabilistic routing protocol using history of encounters and transitivity with periodic sleep in detail, from the aspects of delivery ratio, overhead ratio, delivery latency, and ratio of alive nodes. Simulation results show that the proposed protocol has better delivery probability, overhead ratio, and ratio of alive nodes, in most of the considered parameter settings, in spite of a small increase in delivery latency.

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Section: Introductionmentioning

confidence: 99%

A novel energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks

Kang

Chung

2017

International Journal of Distributed Sensor Networks

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Flower Pollination and Genetic Algorithm Based Optimization for Node Deployment in Wireless Sensor Networks

Keswani

Bhaskar

2020

Int. J. Eng. Tech. Mgmt. Res.

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Wireless sensor network (WSN) most popular area of research where lots of work done in this field. Energy efficiency is one of the most focusing areas because life time of network is most common issue. In the WSN, the node placement is very essential part for the proper communication between the sensor nodes and base station (BS). For better communication nodes should be aware about their own or neighbor node’s location. Better optimization of resources and performance improvement are the main concern for the WSN. Optimal techniques should be utilized to place the nodes at the best possible locations for achieving the desired goal. For node placement, flower pollination optimization and genetic algorithm are useful to generate better result. BS is responsible for the communication of nodes with each other and it should be reachable to nodes. For this Region of Interest (RoI) is helpful to choose the best location. Placement of BS in the middle is suitable place for the static nodes deployment and there should be other strategy for the dynamic environment. Nodes should be connected to each other for the transmission of data from the source to BS properly. From the MATLAB simulation, it has been shown that the proposed methodology improves the network performance in terms of dead nodes, energy remaining and various packets sent to BS.

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Prophet_TD Routing Algorithm based on Historical Throughput and Encounter Duration

Chen¹,

Xu²,

Feng-qi³

et al. 2020

Computers, Materials &Amp; Continua

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PRoPHET-RAIP5: A new approach to secure routing in wireless sensor networks

Cited by 3 publications

References 10 publications

A novel energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks

A novel energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks

Flower Pollination and Genetic Algorithm Based Optimization for Node Deployment in Wireless Sensor Networks

Prophet_TD Routing Algorithm based on Historical Throughput and Encounter Duration

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