Hard Constrained Vertex-Cover Communication Algorithm for WSN
نویسندگان
چکیده
The communication problem is to select a minimal set of placed sensor devices in a service area so that the entire service area is accessible by the minimal set of sensors. Finding the minimal set of sensors is modeled as a vertex-cover problem, where the vertex-cover set facilitates the communications between the sensors in a multi-hop fashion keeping in mind the limited communication range and battery lifespan of all sensors. The vertex-cover is a subset of the coverage set of sensors; therefore, we transform the search space from a continuous domain into a discrete domain. We encoded the vertex-cover problem into the evolutionary domain, where the objective function is to select a minimal set of sensors out of the coverage sensors to act as the vertex-cover set so that its communication range covers all the coverage sensors. The experimental results demonstrate the feasibility of our evolutionary approach in finding minimal vertex cover set, which is less than 37% of total sensors used as communication sensors, in under 14 seconds with 100% coverage of the sensor nodes in wireless sensor network.
منابع مشابه
Constrained Fine-Grain Parallel Sparse Matrix Distribution
We consider how to distribute sparse matrices among processors to reduce communication cost in parallel sparse matrix computations, in particular, sparse matrix-vector multiplication. We allow 2d distributions, where the distribution (partitioning) is not constrained to just rows or columns. The fine-grain model is a 2d distribution introduced in [2] where nonzeros can be assigned to processors...
متن کاملDistributed Vertex Cover in Network Graphs
Vertex cover, a minimal set of nodes to cover all edges in a graph, is an abstraction of coverage problems in sensor networks, transportation networks, etc, and is a well-konwn NP-hard problem. Minimum weighted vertex cover (MWVC) problem asks for further minimizing the cumulative weight of a vertex cover. We present new distributed k-hop algorithms for MWVC problem with theoretical and practic...
متن کاملFixed Parameter Complexity of Distance Constrained Labeling and Uniform Channel Assignment Problems - (Extended Abstract)
We study the complexity of a group of distance-constrained graph labeling problems when parameterized by the neighborhood diversity (nd), which is a natural graph parameter between vertex cover and clique width. Neighborhood diversity has been used to generalize and speed up FPT algorithms previously parameterized by vertex cover, as is also demonstrated by our paper. We show that the Uniform C...
متن کاملA 2-approximation NC algorithm for connected vertex cover and tree cover
The connected vertex cover problem is a variant of the vertex cover problem, in which a vertex cover is additional required to induce a connected subgraph in a given connected graph. The problem is known to be NP-hard and to be at least as hard to approximate as the vertex cover problem is. While several 2-approximation NC algorithms are known for vertex cover, whether unweighted or weighted, n...
متن کاملCovering Problems with Hard Capacities
We consider the classical vertex cover and set cover problems with the addition of hard capacity constraints. This means that a set (vertex) can only cover a limited number of its elements (adjacent edges) and the number of available copies of each set (vertex) is bounded. This is a natural generalization of the classical problems that also captures resource limitations in practical scenarios. ...
متن کامل