4,309 research outputs found
Topology Control in Heterogeneous Wireless Networks: Problems and Solutions
Previous work on topology control usually assumes homogeneous wireless nodes with uniform transmission ranges. In this paper, we propose two localized topology control algorithms for heterogeneous wireless multi-hop networks with nonuniform transmission ranges: Directed Relative Neighborhood Graph (DRNG) and Directed Local Spanning Subgraph (DLSS). In both algorithms, each node selects a set of neighbors based on the locally collected information. We prove that (1) the topologies derived under DRNG and DLSS preserve the network connectivity; (2) the out degree of any node in the resulting topology by DLSS is bounded, while the out degree cannot be bounded in DRNG; and (3) the topologies generated by DRNG and DLSS preserve the network bi-directionality
Architecture for Mobile Heterogeneous Multi Domain Networks
Multi domain networks can be used in several scenarios including military, enterprize networks, emergency networks and many other cases. In such networks, each domain might be under its own administration. Therefore, the cooperation among domains is conditioned by individual domain policies regarding sharing information, such as network topology, connectivity, mobility, security, various service availability and so on. We propose a new architecture for Heterogeneous Multi Domain (HMD) networks, in which one the operations are subject to specific domain policies. We propose a hierarchical architecture, with an infrastructure of gateways at highest-control level that enables policy based interconnection, mobility and other services among domains. Gateways are responsible for translation among different communication protocols, including routing, signalling, and security. Besides the architecture, we discuss in more details the mobility and adaptive capacity of services in HMD. We discuss the HMD scalability and other advantages compared to existing architectural and mobility solutions. Furthermore, we analyze the dynamic availability at the control level of the hierarchy
An Energy Balanced Dynamic Topology Control Algorithm for Improved Network Lifetime
In wireless sensor networks, a few sensor nodes end up being vulnerable to
potentially rapid depletion of the battery reserves due to either their central
location or just the traffic patterns generated by the application. Traditional
energy management strategies, such as those which use topology control
algorithms, reduce the energy consumed at each node to the minimum necessary.
In this paper, we use a different approach that balances the energy consumption
at each of the nodes, thus increasing the functional lifetime of the network.
We propose a new distributed dynamic topology control algorithm called Energy
Balanced Topology Control (EBTC) which considers the actual energy consumed for
each transmission and reception to achieve the goal of an increased functional
lifetime. We analyze the algorithm's computational and communication complexity
and show that it is equivalent or lower in complexity to other dynamic topology
control algorithms. Using an empirical model of energy consumption, we show
that the EBTC algorithm increases the lifetime of a wireless sensor network by
over 40% compared to the best of previously known algorithms
A critical analysis of research potential, challenges and future directives in industrial wireless sensor networks
In recent years, Industrial Wireless Sensor Networks (IWSNs) have emerged as an important research theme with applications spanning a wide range of industries including automation, monitoring, process control, feedback systems and automotive. Wide scope of IWSNs applications ranging from small production units, large oil and gas industries to nuclear fission control, enables a fast-paced research in this field. Though IWSNs offer advantages of low cost, flexibility, scalability, self-healing, easy deployment and reformation, yet they pose certain limitations on available potential and introduce challenges on multiple fronts due to their susceptibility to highly complex and uncertain industrial environments. In this paper a detailed discussion on design objectives, challenges and solutions, for IWSNs, are presented. A careful evaluation of industrial systems, deadlines and possible hazards in industrial atmosphere are discussed. The paper also presents a thorough review of the existing standards and industrial protocols and gives a critical evaluation of potential of these standards and protocols along with a detailed discussion on available hardware platforms, specific industrial energy harvesting techniques and their capabilities. The paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs
Heterogeneous attachment strategies optimize the topology of dynamic wireless networks
In optimizing the topology of wireless networks built of a dynamic set of
spatially embedded agents, there are many trade-offs to be dealt with. The
network should preferably be as small (in the sense that the average, or
maximal, pathlength is short) as possible, it should be robust to failures, not
consume too much power, and so on. In this paper, we investigate simple models
of how agents can choose their neighbors in such an environment. In our model
of attachment, we can tune from one situation where agents prefer to attach to
others in closest proximity, to a situation where distance is ignored (and thus
attachments can be made to agents further away). We evaluate this scenario with
several performance measures and find that the optimal topologies, for most of
the quantities, is obtained for strategies resulting in a mix of most local and
a few random connections
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