6 research outputs found
Energy Efficient Clustering and Routing in Mobile Wireless Sensor Network
A critical need in Mobile Wireless Sensor Network (MWSN) is to achieve energy
efficiency during routing as the sensor nodes have scarce energy resource. The
nodes' mobility in MWSN poses a challenge to design an energy efficient routing
protocol. Clustering helps to achieve energy efficiency by reducing the
organization complexity overhead of the network which is proportional to the
number of nodes in the network. This paper proposes a novel hybrid multipath
routing algorithm with an efficient clustering technique. A node is selected as
cluster head if it has high surplus energy, better transmission range and least
mobility. The Energy Aware (EA) selection mechanism and the Maximal Nodal
Surplus Energy estimation technique incorporated in this algorithm improves the
energy performance during routing. Simulation results can show that the
proposed clustering and routing algorithm can scale well in dynamic and energy
deficient mobile sensor network.Comment: 9 pages, 4 figure
H_∞ State Feedback Control for A Class of Singular Switched Linear Systems
研究了一类不确定切换广义系统的H∞状态反馈控制问题,以线性矩阵不等式(lMI)的形式给出了该类系统的鲁棒稳定且具有H∞扰动衰减度γ充分条件和控制器以及切换策略。将正常系统的lyAPunOV函数研究方法推广到切换广义系统。H∞ state feedback control problem is investigated for a class of singular switched linear systems.a sufficient condition on decrease de-gree of γ for the existence of subcontrollers that is expressed by linear matrix inequalit(LMI) is presented under an appropriate switching law.福建省青年科技人才创新项目资金(2005J006);厦门大学985二期信息创新平台项
Models and Solution Approaches for Efficient Design and Operation of Wireless Sensor Networks
Recent advancements in sensory devices are presenting various opportunities for
widespread applications of wireless sensor networks (WSNs). The most distinguishing
characteristic of a WSN is the fact that its sensors have nite and non-renewable
energy resources. Many research e orts aim at developing energy e cient network
topology and routing schemes for prolonging the network lifetime. However, we notice
that, in the majority of the literature, topology control and routing problems are
handled separately, thus overlooking the interrelationships among them.
In this dissertation, we consider an integrated topology control and routing problem
in WSNs which are unique type of data gathering networks characterized by limited
energy resources at the sensor nodes distributed over the network. We suggest an
underlying hierarchical topology and routing structure that aims to achieve the most
prolonged network lifetime via e cient use of limited energy resources and addressing
operational speci cities of WSNs such as communication-computation trade-o , data
aggregation, and multi-hop data transfer for better energy e ciency. We develop and
examine three di erent objectives and their associated mathematical models that de-
ne alternative policies to be employed in each period of a deployment cycle for the
purpose of maximizing the number of periods so that the network lifetime is prolonged.
On the methodology side, we develop e ective solution approaches that are based on decomposition techniques, heuristics and parallel heuristic algorithms. Furthermore,
we devise visualization tools to support our optimization e orts and demonstrate
that visualization can be very helpful in solving larger and realistic problems
with dynamic nature. This dissertation research provides novel analytical models
and solution methodologies for important practical problems in WSNs. The solution
algorithms developed herein will also contribute to the generalized mixed-discrete
optimization problem, especially for the problems with similar characteristics