On maximum lifetime routing in Wireless Sensor Networks
By Xu Ning, Christos G. Cassandras. IEEE Conference on Decision and Control, 2009
824 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/217fa5dcfd37840918970b8b515edfa1367f5d4e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Lajos Hanzo
- Kaoru Ota
- Mianxiong Dong
- Mohammed El-Hajjar
- Robert Zhong Zhou
- Shuguang Cui
- Zesong Fei
- Kin Kwong Leung
In Electrical and Electronic Engineering
- Shaoshi Yang
- Lajos Hanzo
- Mohammed El-Hajjar
- Robert Zhong Zhou
- Shuguang Cui
- Zesong Fei
- Kaoru Ota
- Kin Kwong Leung
Citations in the corpus
- Controlled sink mobility for prolonging wireless sensor networks lifetime (2008, methodology): “By combining the model presented in [53] and the LP formulation for maximum lifetime routing described in [10], Papadimitriou and Georgiadis [35] present another centralized solution for the problem of maximizing network lifetime.”
- A dynamic clustering and energy efficient routing technique for sensor networks (2007, methodology): “It can be seen that the increase in T1st is about 13 ∼ 22% for a tier-two network of size 10 ∼ 50.”
- A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems (2016, background): “both the radio transceiver unit and the sensor unit of each node have to be energy-efficient, and it is vitally important to maximize the attainable network lifetime [83], defined as the time interval between the initialization of the network and the depletion of the battery of any of the sensor nod”
- A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks (2017, methodology): “…optimized by carefully selecting the routing and rate allocation in a bandwidth-and energy-constrained WSN. Additionally, Chang and Tassiulas [82] formulated the maximum-NL routing challenge as a linear programming problem, which was used as the benchmarker of the near-optimal NL acquired by…”
- On renewable sensor networks with wireless energy transfer (2011, background): “To prolong its lifetime, there have been a flourish of research efforts in the last decade (see, e.g., [1], [2], [3], [4], [5]).”
- Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications (2010, background): “The problem of maximizing the lifetime in this model is formulated as follows [19], [20].”
- Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks (2008, background): “Many routing and MAC protocols have been proposed to prolong the network lifetime [22], [26], [34].”
- ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks (2016, methodology): “Additionally, based on the CIDN design from [10], [11], ‘unsure’ answers are acceptable from an IDS node, when this node has no information about the challenges.”
- Wireless Network Design for Control Systems: A Survey (2017, background): “The limited stored battery or harvested energy of these components brings additional limitation on the energy consumption of the wireless network [18], [19], [20].”
- A Survey on Energy-Efficient Routing Techniques with QoS Assurances for Wireless Multimedia Sensor Networks (2012, methodology): “[16], [18],[34], [35], [36], [39], [40], [41], [42], [43], [44], [46], [47], [49], [50], [59], [61] Eventdriven”