2017Unpublished venueRequires access

Distributed asynchronous localization over WSNs via non-convex consensus ADMM

Sandeep Kumar, Ketan Rajawat

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Abstract

This paper develops an asynchronous distributed localization algorithm based on consensus alternating direction method of multipliers (ADMM). The proposed algorithm is particularly suited to heterogeneous wireless networks with limited resources. Key features of the proposed algorithm include the capability to tolerate delays, node failures, and lost messages. Even though the localization problem is inherently non-convex, the proposed algorithm converges to a stationary solution. The asynchronous nature of the algorithm allows energy-starved nodes to temporarily fall-back and skip one or more steps in the algorithm. Detailed simulations reveal that the proposed algorithm also provides better performance compared to other state-of-the-art distributed localization algorithms.

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What this paper is about

This paper develops an asynchronous distributed localization algorithm based on consensus alternating direction method of multipliers (ADMM). The proposed algorithm is particularly suited to heterogeneous wireless networks with limited resources. Key features of the proposed algorithm include the capability to tolerate delays, node failures, and lost messages. Even though the localization problem is inherently non-convex, the proposed algorithm converges to a stationary solution. The asynchronous nature of the algorithm allows energy-starved nodes to temporarily fall-back and skip one or more steps in the algorithm. Detailed simulations reveal that the proposed algorithm also provides better performance compared to other state-of-the-art distributed localization algorithms.

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Available abstract

This paper develops an asynchronous distributed localization algorithm based on consensus alternating direction method of multipliers (ADMM). The proposed algorithm is particularly suited to heterogeneous wireless networks with limited resources. Key features of the proposed algorithm include the capability to tolerate delays, node failures, and lost messages. Even though the localization problem is inherently non-convex, the proposed algorithm converges to a stationary solution. The asynchronous nature of the algorithm allows energy-starved nodes to temporarily fall-back and skip one or more steps in the algorithm. Detailed simulations reveal that the proposed algorithm also provides better performance compared to other state-of-the-art distributed localization algorithms.

Key concepts: Asynchronous communication, Computer science, Distributed algorithm, Wireless sensor network, Node (physics), Key (lock), Regular polygon, Algorithm

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