We ask a fundamental question concerning the limits of energy efficiency of sensor networkswhat is the upper bound on the lifetime of a sensor network tha. They use the optimization model to compute the maximum lifetime of sensor network. Hence, depending on the scenario, our bounds are either tight or neartight. Second, the lifetime upper bounds derived in this paper are independent of powersaving schemes used. Lifetime for large sensor networks 273 factory and appliances, monitoring critical infrastructures e. The operational lifetime is defined as the maximum number of times the task of delivering certain data to the sink node can be repeated before some node runs out of energy under an. In 4, a data routing algorithm has been proposed with an aim to maximize the minimum lifetime over all nodes in wireless sensor networks. This paper focuses on the theoretical aspects of clustering in wireless sensor networks, as a mean to improve network lifetime. On the upper bound of ilifetime for large sensor networks. The original paper provides both upper and lower bounds of the energy consumptions of routings.
Fundamental performance limits of wireless sensor networks. We use integer linear programming to analyse 1d and 2d networks, taking into account capabilities of. Evaluation of lifetime bounds of wireless sensor networks. Evaluation of lifetime bounds of wireless sensor networks arxiv.
The characteristic distance enables to compute the. Lower bounds on lifetime of ultra wide band wireless. We use an idealized mathematical model to study the energy consumption under all possible routings. It is shown that for static dense thir uwb wireless sensor network, which sensor nodes are distributed in a square of unit area according to a poisson point process of intensity n, the lower bound on the lifetime is. In this paper we introduce the maximum lifetime sensor clustering mlsc protocol for calculating the upper bound on the lifetime of a sensor network.
Citeseerx document details isaac councill, lee giles, pradeep teregowda. Upper bound on operational lifetime of ultra wide band. Upper bounds on the lifetime of sensor networks ieee xplore. In this paper we estimate lifetime bounds of a network of motes. Finally, we explore bounds in networks with more complex topologies. Neither studies deals with the heterogeneous deployment and coverage problem. We ask a fundamental question concerning the limits of energy efficiency of sensor networks what is the upper bound on the lifetime of a sensor network that collects data from a specified region using a certain number of energyconstrained nodes. Introduction the recent advances in microelectromechanical systems mems technology have accelerated the development of wireless sensor. Lifetime is an important metric during configuration for many sensor applications. Specifically, under the assumptions that nodes are deployed as a poisson point process with density. We explore the fundamental limits of energyefficient collaborative datagathering by deriving upper bounds on the lifetime of increasingly sophisticated sensor networks.
Three dimensional wireless sensor networks could enable a broad range of applications. In this paper, we first map the delay constraints to the hop bound in routing. The asymptotic lower bounds on the lifetime of time hopping impulse radio ultra wide band thir uwb wireless sensor networks are derived using percolation theory arguments. Wei yen the possible lifetime upper bound of sensor networks achievable by all algorithms is the topic of this paper. Read investigating upper bounds on lifetime for target tracking sensor networks, international journal of sensor networks on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Most authors derived upper and lower bounds of the network lifetime considering the event detection as spatial behavior of data flow in the network 8.
Chandrakasan, upper bounds on the lifetime of wireless. The possible lifetime upper bound of sensor networks achievable by all algorithms is the topic of this paper. The main limitation is the reduced battery capacity, which upperbounds the operating life of the sensor. Abstract in this paper we propose a novel mathematical model for calculating the upper bounds on the lifetime of a sensor network. In this paper, we concentrate on the lower bounds of the energy consumption of routings and provide an upper bound of the lifetime of a sensor network. In this paper, we explore the fundamental limits of energyef.
The results also reveal that reducing the product of n s and n d can improve lifetime of network. The model not only implies the best routing strategy, but also exposes the dependence of lifetime on factors such as hop bound, radio transmission range, sensing range and. Maximizing the functional lifetime of sensor networks. Previous studies addressing this challenging problem. Investigating upper bounds on network lifetime extension. Second, we derive, given a xed node density in a nite but reasonably large region, the upper bounds of lifetime when only portion of the region is required to be covered at any time. Upper bounds on the lifetime of sensor networks core. Index termsunder water sensor networks, upper bounds, performance evaluation, multihop. Introduction a sensor node capabilities processing sensing communication limitations range memory life cycle miguel a. Estimating the lifetime of wireless sensor network nodes. In this paper, we explore the fundamental limits of sensor network lifetime that all algorithms can possibly achieve. The network lifetime upper bounds have been derived in 10119. Upper bounds on the lifetime of wireless sensor networks. We ask a fundamental question concerning the limits of energy efficiency of sensor networks what is the upper bound on the lifetime of a sensor network that collects data from a specified region.
The asymptotic upper bound on operational lifetime of time hopping ultra wide band thuwb wireless sensor network is derived using percolation theory arguments. Upper bounds on lifetime of threedimensional uwb sensor. The distinctive characteristic of target tracking sensor networks is that the delay of data transmission is constrained, which poses a difficult problem for predicting the application lifetime for such sensor networks. Coverage in sensor network has been discussed in several.
Upper bounds on network lifetime for clustered wireless. Upper bounds on the lifetime of sensor networks abstract. Request pdf upper bounds on network lifetime for clustered wireless sensor networks this paper focuses on the theoretical aspects of clustering in wireless sensor networks, as a mean to. Lifetime improvement in wireless sensor networks via. In this paper, we ask a fundamental question concerning the limits of energy efficiency of wireless sensor networks what is the upper bound on the lifetime of a sensor network that collects data from a specified region using a certain number of energyconstrained nodes.
In wireless sensor networks an attack to the base station sink can render the whole network useless. Lifetime for large sensor networks welcome to the ideals repository. In the linear case, an upper bound on functional lifetime is derived, as a function of the initial energies and quantities of data held by the sensors. In such environments, sensor networks are highly susceptible to physical attacks that can result in physical node destructions. Impact of heterogeneous deployment on lifetime sensing. Mosteiro upper and lower bounds in radio networks 238. In this paper, we study the impacts of physical attacks on sensor network configuration. Simulation results show that these bounds are tight for large scale wireless sensor networks.
Investigating upper bounds on network lifetime extension for cellbased energy conservation techniques in stationary ad hoc networks. A key challenge in adhoc, datagathering, wireless sensor networks is achieving a lifetime of several years using nodes that carry merely hundreds of joules of stored energy. Experimental evaluation of lifetime bounds for wireless. Investigating upper bounds on lifetime for target tracking sensor networks. Bhardwaj and chandrakasan 5 develop upper bounds on the lifetime of networks based on optimum role assignments to sensors e. By employing a combination of theory and extensive simulations of constructed networks, we show that in all data gathering scenarios presented, there exist networks which achieve lifetimes equal to or85% of the derived bounds. Read upper bounds on lifetime of threedimensional uwb sensor networks of multisource, multidestination, international journal of sensor networks on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
Energy is one of the most important resources in wireless sensor networks. Upper bounds on the lifetime of sensor networks ieee. Bounds on the lifetime of wireless sensor networks diva. Upper bounds on the lifetime of wireless sensor networks manish bhardwaj, anantha p. Citeseerx upper bounds on the lifetime of sensor networks. The authors show that the upper limit is kt when the node density follows the specified function of l, the side length, and k, the coverage degree.
The challenge of this work about underwater sensor networks lies in the fact that the propagation delay impact on underwater sensor networks is difficult to model. Studying upper bounds on sensor network lifetime by genetic clustering springerlink. Sensors are organized into clusters and a linear programming model is introduced for calculating a cluster head rotation schedule. In proceedings of the 8th acm international conference on mobile computing and networking mobicom, 183192. On deriving the upper bound of lifetime for large sensor. Upper bounds on the lifetime of sensor networks request pdf. Furthermore, as n s n and n d 1, the upper bounds on lifetime of thir uwb sensor network with multisource, multidestination become that of multisource, singledestination network. We also implemented a series of measurements on cc2420 radio used in a wide range of sensor motes to find the fixed and incremental components, and finally the lifetime of a network composed of the motes using this radio. Instead, it is to explore the fundamental limits of data gathering lifetimes 11. Citeseerx chandrakasan, upper bounds on the lifetime. Upper bounds on lifetime have been derived in 7 using an energyef.
Pdf upper bounds on the lifetime of sensor networks. To improve network lifetimes, many approaches have been proposed. Hence, concealing the physical location of the sink may be necessary in certain circumstances. Bounding the lifetime of sensor networks via optimal. Our results are very general and, within the assumptions listed in section 2, apply to. Bounding the lifetime of sensor networks via optimal role. We study the asymptotic upper bounds on the lifetime of three dimensional time hopping impulse radio ultrawid.
Bounds for lifetime maximization with multiple sinks in. We investigate whether clustering itself with no data aggregation can improve network lifetime in particular application when compared to nonclustered networks. There have been reports on the network lifetime in wsns. It 12 jan 2012 1 on geometric upper bounds for positioning algorithms in wireless sensor networks mohammad reza gholami, student member, ieee. The answer to this question is valuable for two main reasons. Bounds on the lifetime of wireless sensor networks employing multiple data sinks.
Sensor network configuration under physical attacks. Investigating upper bounds on lifetime for target tracking. Optimization models have also been used to study maximum lifetime conditions for sensor networks. Chandrakasan march 17, 2001 abstract in this paper, we ask a fundamental question concerning the limits of energy e. Pdf bounds on the lifetime of wireless sensor networks. Upper bounds on the lifetime of sensor networks ieee conference.
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