Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

By C. Toh. IEEE Communications Magazine, 2001

1,270 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/169f121daa66603e1f9cfef10e963b5d6483a538

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In Computer Networks and Communications

Citations in the corpus

Energy-aware routing in cluster-based sensor networks (2002, methodology): “Stable routes are reliable and long living [6].”
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial (2017, background): “agement and the limited-capacity cellular transmission links cannot handle such a substantial growth in wireless data trafﬁc, which motivates the use of mobile edge caching and computing technologies [187], as shown in Fig. 18. Caching at the edge of wireless networks enables the network devices (BS”
Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks (2017, background): “However, for current cellular networks, the centralized information management and the limited-capacity cellular transmission links cannot handle such a substantial growth in wireless data traffic, which motivates the use of mobile edge caching and computing technologies [187], as shown in Fig.”
Routing Mechanisms for Mobile Ad Hoc Networks Based on the Energy Drain Rate (2003, methodology): “The Conditional Max-Min Battery Capacity Routing (CMMBCR) [14] has been devised as the conditional version of MMBCR in order to achieve two different goals, given a threshold.”
On calculating power-aware connected dominating sets for efficient routing in ad hoc wireless networks (2001, background): “Toh [15] gave an excellent discussion on general issues related to power-aware (power-efficient) routing.”
Energy aware routing for low energy ad hoc sensor networks (2002, background): “Current research has focused on protocols that are low power [2][3][11], scalable with the number of nodes [4] and fault tolerant (to nodes that go up or down, or move in and out of”
Maximum lifetime routing in wireless sensor networks (2004, methodology): “network lifetime obtained by solving the linear programming problem as well as with two other algorithms proposed in [18] and [32].”
Mobile ad hoc networking: imperatives and challenges (2003, background): “A balance between minimum-energy and maximum lifetime is the target of the CMMBCR strategy [256].”
On maximum lifetime routing in Wireless Sensor Networks (2009, background): “[6] and [7], focuses on finding routes that result in low cost or high residual battery energy.”
A survey of QoS routing solutions for mobile ad hoc networks (2007, neutral): “• Node residual battery charge or cost [20]. Examples are given in [23, 28 ].”
A Power Control MAC Protocol for Ad Hoc Networks (2002, background): “Several other routing metrics are also proposed in [20,23].”