Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks

By Yan Yu, Ramesh Govindan, Deborah Estrin. 2002

1,633 citations recorded by the source corpus.

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Citations in the corpus

RMST: reliable data transport in sensor networks (2003, background): “This sort of anonymity and distributed responsibility is built into directed diffusion [9,11].”
Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey (2014, methodology): “Y.Yu.et.Al [13] stated that GEAR uses the GIS (Geographical Information System) for finding location of sensor nodes in the network.”
Rumor Routing Algorithm For Sensor Networks (2002, background): “If geographic information is available, the best path is the greedy shortest path, and does not require flooding [17][2].”
Attack-resistant location estimation in sensor networks (2005, methodology): “The .rst method .lters out malicious beacon signals on the basis of the consistency among multiple beacon signals, while the second method tolerates malicious beacon signals by adopting an iteratively re.ned voting scheme.”
Routing techniques in wireless sensor networks: a survey (2004, methodology): “[33] discussed the use of geographic information while disseminating queries to appropriate regions since data queries often include geographic attributes.”
TTDD: Two-Tier Data Dissemination in Large-Scale Wireless Sensor Networks (2005, background): “GEAR [21] makes use of geographical location information to route queries to specific regions of a sensor field.”
A survey on routing protocols for wireless sensor networks (2005, background): “Yu et al. [43] have suggested the use of geographic information while disseminating queries to appropriate regions since data queries often includes geographic attributes.”
Locating and bypassing routing holes in sensor networks (2004, background): “Similarly, holes can help geographic multi-cast [5], where data needs to be routed to a geographic region instead of a destination node specified by an address.”
Studying the feasibility of energy harvesting in a mobile sensor network (2003, background): “• Geographic and power aware routing to bound network traffic [5].”
Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey (2013, background): “The GEAR is more ef ﬁ cient than Flooding [96].”
On the lifetime of wireless sensor networks (2009, background): “(9) the number of total transmitted messages [Baydere et al. 2005; Yu et al. 2001];”
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures (2012, background): “…(namely direct trust) and second hand information (namely reputation); and (3) response components here is a trust-aware version of geographical and energy aware routing (GEAR) protocol (Yu et al., 2001), which calculates with the distance and energy information to choose the next best hop.”
A two-tier data dissemination model for large-scale wireless sensor networks (2002, methodology): “GEAR [21] makes use of geographical location information to route queries to speci c regions of a sensor eld.”
Securing wireless sensor networks: a survey (2008, methodology): “In location-based routing protocols such as Geographical and Energy-Aware Routing (GEAR) [102], the location of a sensor node, which can be estimated by global positioning system (GPS) devices or GPS-free methods, is used as the routing metric.”