Efficient geographic routing in multihop wireless networks

By Seungjoon Lee, Bobby Bhattacharjee, Suman Banerjee. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2005

331 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

QELAR: A Machine-Learning-Based Adaptive Routing Protocol for Energy-Efficient and Lifetime-Extended Underwater Sensor Networks (2010, background): “Although there exist many mature protocols for terrestrial sensor networks, they cannot be applied directly to UWSNs because of the fundamental differences in both the communication medium and network features.”
VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks (2006, background): “Geographic Routing Protocols for Mobile Ad Hoc Networks In the literature, there are many geographic routing protocols [3], [13], [10], [6], [27], [7], [23], [16] proposed to address the node mobility issue.”
A survey on routing algorithms for wireless Ad-Hoc and mesh networks (2012, unknown): “Finally, Reference [71] provided a practical routing algorithm that considered special wireless issues.”
Virtual-Coordinate-Based Delivery-Guaranteed Routing Protocol in Wireless Sensor Networks (2008, background): “I. INTRODUCTION A wireless sensor network consists of several sensors, each of which has the ability to collect, process, and store environmental information as well as to communicate with others via inter-sensor communication.”
Geographic and Opportunistic Routing for Underwater Sensor Networks (2016, methodology): “We use normalized advance (NADV) [37] to measure the “goodness” of each next-hop candidate node in Ci.”