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In Wireless Sensor Networks (WSNs), clustering techniques are usually used as a key effective solution to prolong the network lifetime by reducing energy consumption among the sensor nodes. Despite many works on clustering in WSNs this issue is still outstanding. However, the most existing solutions suffer from long and iterative clustering cycles. In an attempt to fill in this gap, we propose a new...
The energy consumption in Wireless Sensor Networks, WSN, need to be balanced in order to avoid early depletion of nodes. In this paper we use a common context to analyze a broad range of the energy balancing algorithms suggested in literature. In addition we suggest three new algorithms to complete the range. Altogether, nine different balancing techniques are analyzed. We focuses on networks running...
Given an undirected weighted connected graph G = (V,E) with vertex set V and edge set E and a designated vertex r ∈ V , we consider the problem of constructing a spanning tree in G that balances both the minimum spanning tree and the shortest paths tree rooted at r. Formally, for any two constants α, β ≥ 1, we consider the problem of computing an (α, β)-balanced spanning tree T in G, in the sense...
The paper compares two formulations of dynamic power management in energy-aware computer networks. In the first approach the only criterion is energy consumption, in the second there is an additional one - the quality of service. It is shown, that the second approach is appropriate when the routing problem with fixed demands is inadmissible. Fortunately, by some optimization modeling transformations...
The usage of Unmanned Aerial Vehicles (UAVs) is increasing day by day. In recent years, UAVs are being used in increasing number of civil applications, such as policing, fire-fighting, etc in addition to military applications. Instead of using one large UAV, multiple UAVs are nowadays used for higher coverage area and accuracy. Therefore, networking models are required to allow two or more UAV nodes...
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