Improved Interference in Wireless Sensor Networks

TL;DR

This paper introduces optimal algorithms for minimizing interference in wireless sensor networks, improving efficiency and performance over previous methods, with specific solutions for maximum and total interference minimization.

Contribution

It presents new optimal algorithms for interference minimization in sensor networks, including faster solutions for maximum interference and a heuristic for total interference.

Findings

Optimal algorithm for minimizing maximum interference with improved runtime

Optimal algorithm for minimizing total interference in broadcast scenarios

Heuristic for strongly connected networks outperforms existing methods

Abstract

Given a set ${\cal V}$ of $n$ sensor node distributed on a 2-dimensional plane and a source node $s \in {\cal V}$, the {\it interference problem} deals with assigning transmission range to each $v \in {\cal V}$ such that the members in ${\cal V}$ maintain connectivity predicate ${\cal P}$, and the maximum/total interference is minimum. We propose algorithm for both {\it minimizing maximum interference} and {\it minimizing total interference} of the networks. For minimizing maximum interference we present optimum solution with running time $O(({\cal P}_n + n^2) \log n)$ for connectivity predicate ${\cal P}$ like strong connectivity, broadcast ($s$ is the source), $k$-edge(vertex) connectivity, spanner, where $O({\cal P}_n)$ is the time complexity for checking the connectivity predicate ${\cal P}$. The running time of the previous best known solution was $O({\cal P}_n \times n^2)$ [Bil$\grave{o}$ and Proietti, 2008]. For the minimizing total interference we propose optimum algorithm for the connectivity predicate broadcast. The running time of the propose algorithm is O(n). For the same problem, the previous best known result was $2(1 + \ln (n-1))$-factor approximation algorithm [Bil$\grave{o}$ and Proietti, 2008]. We also propose a heuristic for minimizing total interference in the case of strongly connected predicate and compare our result with the best result available in the literature. Experimental results demonstrate that our heuristic outperform existing result.