Communication Framework for Jointly Addressing Issues of Routing Overhead and Energy Drainage in MANET

Synchronous Client-Server Interaction Mechanism for Event-based Asynchronous Communication Framework

International Journal of Wireless and Mobile Communication for Industrial Systems ◽

10.21742/ijwmcis.2018.5.2.03 ◽

2018 ◽

Vol 5 (2) ◽

pp. 13-18

Author(s):

Mingyu Lim

Keyword(s):

Interaction Mechanism ◽

Asynchronous Communication ◽

Client Server ◽

Communication Framework ◽

Event Based

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Vehicle-to-Vehicle Connectivity and Communication Framework for Vehicular Ad-Hoc Networks

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems ◽

10.1109/cisis.2014.7 ◽

2014 ◽

Cited By ~ 20

Author(s):

Danda B. Rawat ◽

Bhed B. Bista ◽

Gongjun Yan ◽

Stephan Olariu

Keyword(s):

Ad Hoc Networks ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Communication Framework ◽

Vehicle To Vehicle ◽

Hoc Networks

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Fuzzy Logic-Based Geographic Routing Protocol for Dynamic Wireless Sensor Networks

Sensors ◽

10.3390/s19010196 ◽

2019 ◽

Vol 19 (1) ◽

pp. 196 ◽

Cited By ~ 3

Author(s):

Xing Hu ◽

Linhua Ma ◽

Yongqiang Ding ◽

Jin Xu ◽

Yan Li ◽

...

Keyword(s):

Wireless Sensor Networks ◽

Fuzzy Logic ◽

Sensor Networks ◽

Routing Protocol ◽

Geographic Routing ◽

Wireless Sensor ◽

Location Information ◽

Destination Node ◽

Routing Overhead ◽

Geographic Routing Protocol

The geographic routing protocol only requires the location information of local nodes for routing decisions, and is considered very efficient in multi-hop wireless sensor networks. However, in dynamic wireless sensor networks, it increases the routing overhead while obtaining the location information of destination nodes by using a location server algorithm. In addition, the routing void problem and location inaccuracy problem also occur in geographic routing. To solve these problems, a novel fuzzy logic-based geographic routing protocol (FLGR) is proposed. The selection criteria and parameters for the assessment of the next forwarding node are also proposed. In FLGR protocol, the next forward node can be selected based on the fuzzy location region of the destination node. Finally, the feasibility of the FLGR forwarding mode is verified and the performance of FLGR protocol is analyzed via simulation. Simulation results show that the proposed FLGR forwarding mode can effectively avoid the routing void problem. Compared with existing protocols, the FLGR protocol has lower routing overhead, and a higher packet delivery rate in a sparse network.

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