scholarly journals An Optimized Probabilistic Delay Tolerant Network (DTN) Routing Protocol Based on Scheduling Mechanism for Internet of Things (IoT)

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 243 ◽  
Author(s):  
Yuxin Mao ◽  
Chenqian Zhou ◽  
Yun Ling ◽  
Jaime Lloret

Many applications of Internet of Things (IoT) have been implemented based on unreliable wireless or mobile networks like the delay tolerant network (DTN). Therefore, it is an important issue for IoT applications to achieve efficient data transmission in DTN. In order to improve delivery rate and optimize delivery delay with low overhead in DTN for IoT applications, we propose a new routing protocol, called Scheduling-Probabilistic Routing Protocol using History of Encounters and Transitivity (PROPHET). In this protocol, we calculate the delivery predictability according to the encountering frequency among nodes. Two scheduling mechanisms are proposed to extend the traditional PROPHET protocol and improve performance in both storage and transmission in DTN. In order to evaluate the proposed routing protocol, we perform simulations and compare it with other routing protocols in an Opportunistic Network Environment (ONE) simulator. The results demonstrate that the proposed Scheduling-PROPHET can achieve better performances in several key aspects compared with the existing protocols.

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Seung Deok Han ◽  
Yun Won Chung

In delay tolerant network (DTN), an end-to-end path is not guaranteed and packets are delivered from a source node to a destination node via store-carry-forward based routing. In DTN, a source node or an intermediate node stores packets in buffer and carries them while it moves around. These packets are forwarded to other nodes based on predefined criteria and finally are delivered to a destination node via multiple hops. In this paper, we improve the dissemination speed of PRoPHET (probability routing protocol using history of encounters and transitivity) protocol by employing epidemic protocol for disseminating messagem, if forwarding counter and hop counter values are smaller than or equal to the threshold values. The performance of the proposed protocol was analyzed from the aspect of delivery probability, average delay, and overhead ratio. Numerical results show that the proposed protocol can improve the delivery probability, average delay, and overhead ratio of PRoPHET protocol by appropriately selecting the threshold forwarding counter and threshold hop counter values.


2013 ◽  
Vol 684 ◽  
pp. 543-546 ◽  
Author(s):  
Phearin Sok ◽  
Sueng Hwan Lee ◽  
Kee Cheon Kim

PRoPHET uses its delivery predictability of node encounters and transitivity to forward bundles to its neighbor node. Regardless of their distance, it faces delivery dilemmas in a source node and drawbacks of low delivery ratio and high delay in case two or more neighbor nodes carry equal delivery predictability. To solve such consequences, we propose a Distance and Probabilistic Routing Protocol using History of Encounters and Transitivity (DPRoPHET) with the use of cross layer implementation for distance value retrieval. Our simulation results show that, by adding distance metric to the existing delivery predictability vector, DPRoPHET outperforms PRoPHET.


AITI ◽  
2018 ◽  
Vol 15 (1) ◽  
pp. 67-74
Author(s):  
Maria Hilary ◽  
Bambang Soelistijanto

Delay Tolerant Network (DTN) is a wireless connection which does not need infrastructure in its formation. In this research the writer test the performance of a spray and focus routing protocol in opportunistic network using ONE SIMULATOR. Performance matrix used are delivery probability, overhead, delay, and drop. Scenario used in every test are increasing the number of nodes, increasing the number of copy pesan, additional TTL (time-to-live), and addition of buffer capacity. The test result show that spray and focus routing protocol is better in working day movement when TTL is increasing because spray and focus uses transitivity to choise the best relay node so the message can reach its destination in a shorter time even though nodes are often forming a community. The delivery probabilty reached 99.4% which is mean in every 100 messages, 99 messages are sucessfully delivered to destination node.


2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771738 ◽  
Author(s):  
Min Wook Kang ◽  
Yun Won Chung

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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