title: An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks.
abstract: Collaborative strategies for mobile sensor nodes ensure the efficiency and the robustness of data processing, while limiting the required communication bandwidth. In order to solve the problem of pipeline inspection and oil leakage monitoring, a collaborative weighted mobile sensing scheme is proposed. By adopting a weighted mobile sensing scheme, the adaptive collaborative clustering protocol can realize an even distribution of energy load among the mobile sensor nodes in each round, and make the best use of battery energy. A detailed theoretical analysis and experimental results revealed that the proposed protocol is an energy efficient collaborative strategy such that the sensor nodes can communicate with a fusion center and produce high power gain.
authors.affiliation: School of Engineering, Sun Yat-sen University, Guangzhou 510006, China. tchengp@mail.sysu.edu.cn.
authors.forename: Chengpei
authors.initials: C
authors.lastname: Tang
authors.affiliation: Lawrence Berkeley National Laboratory, University of California, Oakland, CA 94612, USA. sanesy.kumcr@gmail.com.
authors.forename: Sanesy Kumcr
authors.initials: SK
authors.lastname: Shokla
authors.affiliation: Department of Mathematics and Computer Science, Valdosta State University, Dartmouth, MA 02747, USA. George.modhawar@gmail.com.
authors.forename: George
authors.initials: G
authors.lastname: Modhawar
authors.affiliation: Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA. wangqianedu@163.com.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Wang
keywords: collaborative weighted clustering algorithm; mobile environments; mobile sensing schemes; oil leakage monitoring; weighted clustering algorithm