A Vector Algebraic Algorithm for Coverage Compensation in Hybrid Wireless Sensor Networks | Zendy

Ningning Qin | Zendy; Li-Xia Guo | Zendy; Zhiguo Ding | Zendy; XU Bao-guo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Vector Algebraic Algorithm for Coverage Compensation in Hybrid Wireless Sensor Networks

Author(s) -

Ningning Qin,

Li-Xia Guo,

Zhiguo Ding,

XU Bao-guo

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/928528

Subject(s) - computer science , wireless sensor network , energy consumption , compensation (psychology) , algorithm , dimension (graph theory) , energy (signal processing) , wireless , computer network , telecommunications , mathematics , electrical engineering , psychology , statistics , psychoanalysis , pure mathematics , engineering

In wireless sensor networks, coverage holes are caused by energy depletion at some nodes, and the aim of this paper is to study how to utilize the redundant nodes with remaining energy. Particularly, this paper proposes a vector algebra based algorithm by exploring redundant nodes as an extra dimension for coverage compensation. This algorithm consists of two parts. One is to find the locations of potential redundant nodes for coverage compensation; and the other is to opportunistically select the best redundant nodes by jointly considering the hole boundaries and the remaining energy of nodes. Simulation results are provided to demonstrate that the proposed algorithm minimizes the energy consumption when repairing the holes for full coverage. Furthermore, compared with other algorithms, the proposed one exhibits better performance in terms of moving distance and energy consumption. © 2013 Ning-ning Qin et al.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research