An Incremental Self-Deployment Algorithm for Mobile Sensor Networks

By Andrew Howard, Maja J. Mataric, G. Sukhatme. Auton. Robots, 2002

672 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e7be36672fd635e03b48ff0370deffb6cad48e91

How researchers see this paper

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

In Aerospace Engineering

1. T. L. Porta
2. Guohong Cao
3. Guiling Wang
4. Ying Tan
5. Zhongyang Zheng
6. Pramod K. Varshney
7. Yourim Yoon
8. Nojeong Heo

In Computer Networks and Communications

1. Sajal K. Das
2. Sanjay Kumar Jha
3. Guiling Wang
4. Salil S. Kanhere
5. Nadeem Ahmed
6. Pramod K. Varshney
7. Nojeong Heo
8. Guohong Cao

In Electrical and Electronic Engineering

1. Guiling Wang
2. Sanjay Kumar Jha
3. Salil S. Kanhere
4. Nadeem Ahmed
5. Guohong Cao
6. T. L. Porta
7. Yourim Yoon
8. Yong-Hyuk Kim

Citations in the corpus

• Development environments for autonomous mobile robots: A survey (2007, background): “, 2003), multi-robot sensing (Jung & Sukhatme, 2002), multi-robot exploration (Howard et al., 2002), multi-robot mapping (Howard et al.”
• Research Advance in Swarm Robotics (2013, methodology): “The earlier research using sensor-based modeling methods [58,59] did not consider the real physical limitations, now the researchers introduce the physical principle into the model [60,61].”
• Sensor Networks : An Overview (2002, background): “[15] describes self-deployment algorithms for mobile sensor networks.”
• Coverage and connectivity issues in wireless sensor networks: A survey (2008, background): “In [29] and [28], an incremental and greedy self-deployment algorithm is presented for mobile sensor networks in which nodes are deployed one at a time into an unknown environment.”
• Movement-assisted sensor deployment (2004, methodology): “Moreover, in many cases, such as during in-building toxic-leaks detection [11], [12], chemical sensors must be placed inside a building from the entrance of the building.”
• An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, methodology): “There have been studies to expand the coverage of sensors with static sensors, which have limited movement [14], [15], and studies with mobile sensors, which can move within a certain area [23], [31], [39], [56].”
• The holes problem in wireless sensor networks: a survey (2005, methodology): “Several researchers have investigated techniques to obtain maximum single coverage of a target area using mobile sensors [13] [14] [15] [16] [17].”
• Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem (2002, positive): “We are interested, for example, in how one might apply this approach to coverage problems in which line-of-sight connectivity is important [ 9 ].”
• Energy-efficient deployment of Intelligent Mobile sensor networks (2005, methodology): “The average distance traveled [9] by each node is related to the energy required for its movement.”
• Sensor relocation in mobile sensor networks (2005, methodology): “, moving sensors to provide certain initial coverage [11], [12], [20], [21], [24].”