Energy-Efficient Broadcasting for Cross Wireless Ad-Hoc Networks
Mohammad R. Ataei, Amir H. Banihashemi, Thomas Kunz

TL;DR
This paper introduces novel algorithms for energy-efficient broadcasting in cross-shaped wireless networks, including optimal, near-optimal, and distributed solutions, outperforming existing methods especially in larger networks.
Contribution
It presents the first optimal solution for minimum-energy broadcasting in 2-D cross networks and offers scalable algorithms with practical performance advantages.
Findings
The optimal algorithm runs in polynomial time (O(N^12)).
The near-optimal algorithm has linear complexity (O(N)).
The distributed algorithm performs close to the near-optimal method.
Abstract
In this paper, we propose solutions for the energy-efficient broadcasting over cross networks, where N nodes are located on two perpendicular lines. Our solutions consist of an algorithm which finds the optimal range assignment in polynomial time (O(N^12)), a near-optimal algorithm with linear complexity (O(N)), and a distributed algorithm with complexity O(1). To the best of our knowledge, this is the first study presenting an optimal solution for the minimum-energy broadcasting problem for a 2-D network (with cross configuration). We compare our algorithms with the broadcast incremental power (BIP) algorithm, one of the most commonly used methods for solving this problem with complexity O(N^2). We demonstrate that our near-optimal algorithm outperforms BIP, and that the distributed algorithm performs close to it. Moreover, the proposed distributed algorithm can be used for more…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMobile Ad Hoc Networks · Cooperative Communication and Network Coding · Opportunistic and Delay-Tolerant Networks
