TY - GEN
T1 - A Reactive Geographic Routing Protocol for wireless sensor networks
AU - Ding, Rong
AU - Yang, Lei
PY - 2010
Y1 - 2010
N2 - Geographic routing has been studied as an attractive approach due to its simplicity and scalability properties in routing for wireless sensor networks. The most influential geographic routing protocol is GPSR (Greedy Perimeter Stateless Routing) and many geographic routing protocols are based on greedy forwarding routing. However, large routing protocol overhead, less reliability for long link and long average end-to-end delay are still the problems for this type of geographic routing protocol. In this paper, we start with another perspective of geographic information and propose a novel geographic routing protocol, RGRP (Reactive Geographic Routing Protocol), which combines reactive routing mechanism and geographic routing. In our algorithm, reactive routing mechanism is used to reduce the packets for routing discovery and end-to-end delay. Furthermore, geographic routing is used to find the optimal path in multitudinous paths. Finally, we make experiments and comparison between RGRP and GPSR. Simulation results exhibit superior performance of our protocol.
AB - Geographic routing has been studied as an attractive approach due to its simplicity and scalability properties in routing for wireless sensor networks. The most influential geographic routing protocol is GPSR (Greedy Perimeter Stateless Routing) and many geographic routing protocols are based on greedy forwarding routing. However, large routing protocol overhead, less reliability for long link and long average end-to-end delay are still the problems for this type of geographic routing protocol. In this paper, we start with another perspective of geographic information and propose a novel geographic routing protocol, RGRP (Reactive Geographic Routing Protocol), which combines reactive routing mechanism and geographic routing. In our algorithm, reactive routing mechanism is used to reduce the packets for routing discovery and end-to-end delay. Furthermore, geographic routing is used to find the optimal path in multitudinous paths. Finally, we make experiments and comparison between RGRP and GPSR. Simulation results exhibit superior performance of our protocol.
UR - https://www.scopus.com/pages/publications/79952327425
U2 - 10.1109/ISSNIP.2010.5706734
DO - 10.1109/ISSNIP.2010.5706734
M3 - 会议稿件
AN - SCOPUS:79952327425
SN - 9781424471768
T3 - Proceedings of the 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010
SP - 31
EP - 36
BT - Proceedings of the 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010
T2 - 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2010
Y2 - 7 December 2010 through 10 December 2010
ER -