A Secured Geo-routing Protocol for VANET with an Enhanced Junction Selection Mechanism

2020 ◽  
Author(s):  
Farzana Shabnam ◽  
Abbas Jamalipour
Keyword(s):  
Routing Protocol ◽  
Selection Mechanism

scholarly journals QoTa-MPR: QoS-oriented and Traffic-aware Multi-path Routing Protocol for Internet of Remote Things

2021 ◽  
Author(s):  
Zhongyu MA ◽  
Yanxing Liu ◽  
Qun Guo ◽  
Xiaochao Dang ◽  
Zhanjun Hao ◽  
...  
Keyword(s):  
Routing Protocol ◽  
Loss Rate ◽  
Transmission Rate ◽  
Path Selection ◽  
Traffic Flows ◽  
Selection Mechanism ◽  
Long Distance ◽  
Packet Header ◽  
Transmission Data ◽  
Dynamic Source

Abstract Internet of Remote Things (IoRT) is widely used in both military and civilian applications. However, due to the unique characteristics, which is characterized as long-distance and high-latency, the design of the routing protocol is a great challenge of IoRT. In this paper, a QoS-oriented and traffic-aware multi-path routing protocol (QoTa-MRP) is proposed for IoRT. QoTa-MRP is composed of two parts. The first part is the link traffic-aware based multi-paths source route discovery mechanism, which is used to establish multi-paths with lower link disjoint degree. The second part is path similarity and traffic priority based multi-path selection mechanism, which is used to determine the transmission mode of the traffic flows to enhance the reliability or effectiveness of the transmission. Simultaneously, the protocol is theoretically analyzed in terms of the successful transmission rate of routing transmission data packet. Finally, the dynamic source routing, which is a very representative protocol and is usually used as the baseline comparison protocol, is revisited for the performance verification of the QoTa-MRP in IoRT. It is shown in the simulation results that there are significant superiorities of QoTa-MRP than that of DSR in terms of network throughput, packet loss rate and routing packet header overhead in IoRT.

Improved GPSR Algorithm Based on the Last Hop Node Selection Mechanism of the Destination Node

2014 ◽  
Vol 926-930 ◽  
pp. 3054-3057
Author(s):  
Rui Hong Dong ◽  
Qing Yang ◽  
Chang Sheng Zhu ◽  
Jie Wang
Keyword(s):  
Network Topology ◽  
Routing Protocol ◽  
Destination Node ◽  
Selection Mechanism ◽  
Data Forwarding ◽  
Research Focus ◽  
Node Selection ◽  
Packet Delivery ◽  
Node Location ◽  
Selection Of

Based on the location of the routing protocol because it avoids the shortcomings of flooding mechanisms and has a good scalability, become research focus in frequent changes network topology VANET .GPSR based on node location only for data forwarding, so it is important to vehicle node location information is accurate, directly affect the normal data forwarding. For GPSR algorithm the destination node location inaccuracy problem, this paper introduces the concept of expectation domain to estimate the location of the destination node movement range, and the last hop neighbor node selection of the destination node to join discriminant mechanism. The simulation experimental results show that the improved GPSR protocol has a higher packet delivery rate.

Modified fuzzy-based greedy routing protocol for VANETs

2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Area ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Greedy Routing ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

A Survey on Hierarchical Cluster Based Secure Routing Protocols and Key Management Schemes in Wireless Sensor Networks

2018 ◽  
pp. 18-26
Author(s):  
Yugashree Bhadane ◽  
Pooja Kadam
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Key Management ◽  
Energy Efficient ◽  
Base Station ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Management Schemes ◽  
Cluster Based Routing

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.

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