Sixsoid: A new paradigm for kk-coverage in 3D Wireless Sensor Networks

Coverage in 3D wireless sensor network (WSN) is always a very critical issue to deal with. Coming up with good coverage models implies more energy efficient networks. $K$-coverage is one model that ensures that every point in a given 3D Field of Interest (FoI) is guaranteed to be covered by $k$ sensors. When it comes to 3D, coming up with a deployment of sensors that gurantees $k$-coverage becomes much more complicated than in 2D. The basic idea is to come up with a geometrical shape that is guaranteed to be $k$-covered by taking a specific arrangement of sensors, and then fill the FoI will non-overlapping copies of this shape. In this work, we propose a new shape for the 3D scenario which we call a \textbf{Devilsoid}. Prior to this work, the shape which was proposed for coverage in 3D was the so called \textbf{Reuleaux Tetrahedron}. Our construction is motivated from a construction that can be applied to the 2D version of the problem \cite{MS} in which it imples better guarantees over the \textbf{Reuleaux Triangle}. Our contribution in this paper is twofold, firstly we show how Devilsoid gurantees more coverage volume over Reuleaux Tetrahedron, secondly we show how Devilsoid also guarantees simpler and more pragmatic deployment strategy for 3D wireless sensor networks. In this paper, we show the constuction of Devilsoid, calculate its volume and discuss its effect on the $k$-coverage in WSN

EvoCut : A new Generalization of Albert-Barab\'asi Model for Evolution of Complex Networks

With the evolution of social networks, the network structure shows dynamic nature in which nodes and edges appear as well as disappear for various reasons. The role of a node in the network is presented as the number of interactions it has with the other nodes. For this purpose a network is modeled as a graph where nodes represent network members and edges represent a relationship among them. Several models for evolution of social networks has been proposed till date, most widely accepted being the Barab\'asi-Albert \cite{Network science} model that is based on \emph{preferential attachment} of nodes according to the degree distribution. This model leads to generation of graphs that are called \emph{Scale Free} and the degree distribution of such graphs follow the \emph{power law}. Several generalizations of this model has also been proposed. In this paper we present a new generalization of the model and attempt to bring out its implications in real life

Optimized Cooperative LEACH MISO in Wireless Sensor Networks

Abstract-- In long range communications of wireless sensor networks (WSN), the most crucial issue is the data reliability. Data reliability is mostly affected by fading. Cooperative MISO (Multiple Input Single Output) is a variant of MIMO (Multiple Input Multiple Output). In this paper we propose an optimized cooperative LEACH (Low-Energy Adaptive Clustering Hierarchy) MISO model where sensors using Alamouti diversity schemes take part in cooperative communication. Sensors are responsible for sensing the environment, data gathering, data compression and cooperative communication. Cluster head cooperates with the nearby sensors to cooperatively communicate with other cluster heads and the sink. The basic aim of this model is to achieve longer life time of WSN along with less energy consumption. This paper also aims at achieving uniform death of the sensors. MIMO helps in long range inter-sensor communication and sensor-sink communication. It has been compared with an existing Cluster Head Cooperative LEACH MIMO model and simulation results prove that the proposed model is more efficient in terms of WSN life-time as well as energy conservation. This paper also represents an optimized model of a previous work which uses mobility

Coexistence Model of IEEE 802.11b and 802.15.4 for Industrial Applications in Oil or Gas Station

Abstract-- The coexistence between IEEE 802.11b Wireless Local Area Network (WLAN) and IEEE 802.15.4 Wireless Sensor Network (WSN) is a very sensitive issue while dealing with heterogeneous wireless network standards forming a single network. IEEE 802.15.4 supports low data rate, low power and IEEE 802.11b operates with higher data rate. IEEE 802.15.4 sensor devices are very much vulnerable to interference with IEEE 802.11 WLAN standard devices. Both these standards operate at Industrial, Scientific and Medical (ISM) band of 2.4 GHz. WLAN and WSN need to co-exist to serve as a reliable communication network in many real life scenarios like Oil & Gas fields, battle fields etc. The wireless communication skeleton makes the industrial monitoring and management control easy as compared to a wired system. In many industrial applications, WSN data is very much crucial and this kind of data should be kept unaffected from any interference that may be caused by any WLAN devices nearby. In this paper, efforts have been made to resolve the various problems which arise due to the coexistence of WLAN and WSN standards operating at the same frequency bandwidth. We focus on the issue of protecting WSN from WLAN interference. It has been attempted by selecting appropriate operating ranges for different devices based on analyses of various issues which form the essential basis for the conventional packet collision avoidance mechanisms to minimize the interference effect for measuring various set of parameters. Our model has been simulated with a sample test-bed and results are obtained for different WLAN packet sizes which help to understand the impact of WLAN on WSN