Maximum lifetime routing in wireless sensor networks pdf

On lexicographic maxmin node lifetime for wireless sensor. Hybrid evolutionary approaches to maximum lifetime routing and energy efficiency in sensor mesh networks. Energy limitation of sensor nodes is the basic factor for lifetime. Paschalidis ruomin wu may 14, 2012 abstract we consider the maximum lifetime routing problem in wireless sensor networks in two settings. This can be achieved by minimizing the idle listening time with duty cycling mechanism andor minimizing the number of communications per node. Oct 26, 2009 maximum lifetime routing in wireless sensor networks this algorithm combines the energy consumption optimization with the use of multiple routes 26. Many heuristics were designed to enhance power reservoir of sensors and maximize their life time. As its name shows that it uses source routing instead of routing tables.

The incorporation of optimal routing and data aggregation is shown via many examples to provide signi. Maximum connectivity and maximum lifetime energyaware. Index termsenergy constraint, node lifetime, lexicographic maxmin. Routing in dsr is divided into two parts, route discovery and route. A routing problem in static wireless ad hoc networks is considered as it arises in a rapidly deployed, sensor based, monitoring system known as the wireles. Mar 14, 2015 in this paper the problem of maximum lifetime routing is investigated in asynchronous dutycycled wireless sensor networks. Distributed algorithms for maximum lifetime routing in wireless sensor networks abstract. Maximum lifetime routing problem in asynchronous dutycycled. Maximum lifetime data gathering and aggregation in wireless.

Probabilistic and deterministic treebased routing for. Lexicographically optimal routing for wireless sensor networks. Maximum lifetime convergecast tree in wireless sensor networks jobish john, student member, ieee, gaurav s kasbekar, member, ieee, and maryam shojaei baghini, senior member, ieee abstractwe study the problem of building a maximum lifetime data collection tree for periodic convergecast applications in wireless sensor networks. In this protocol, each transmitter in order to send a data packet, first. One issue in wireless sensor networks is achieving efficient operation because of the limited available power. Citeseerx document details isaac councill, lee giles, pradeep teregowda. An improved energyefficient routing protocol for wireless. Maximum lifetime data gathering and aggregation in.

Pdf maximum lifetime routing in wireless sensor networks. Many of the existing online routing schemes are based on the use of some edgeweight functions, but those schemes exhibit diverse performances in terms of the obtained lifetime results. Lifetimeoptimal data routing in wireless sensor networks. Within a prescribed delay tolerance level, each node does not need to send the data immediately as it becomes available. Multidimensional poisson distribution heuristic for maximum. Request pdf a fair and lifetime maximum routing algorithm for wireless sensor networks in multihop sensor networks, information obtained by the monitoring nodes need to be routed to the sinks. A lowenergy adaptive clustering hierarchy leach has been proposed as an applicationspecific protocol architecture for wsns. Long lifetime routing in unreliable wireless sensor networks hamed yousefi, mohammad hossein yeganeh, ali movaghar abstract lifetime is the most important concern in wireless sensor networks due to limited battery power of sensor nodes. Variable bit rate flow routing in wireless sensor networks. In these works, to achieve high data collection rate and. Hierarchical routing protocols for wireless sensor network.

Distributed maximum lifetime routing in wireless sensor. Wsns are used in iot applications and should be secured and energy efficient in order to provide highly reliable data communications. Dynamic multisource multipath routing for intrusion. Optimal routing and data aggregation for maximizing. Maximum lifetime routing in wireless sensor networks.

Wireless sensor networks wsns are one of the key enabling technologies for the internet of things iot. A recursive smoothing method is adopted to overcome the nondifferentiability of the objective function. There are various problems in wireless sensor networks such as area coverage, position estimation, etc. An improved energy efficient threshold based routing for. Wireless sensor networks, innetwork query processing, energy management, lifetime maximization, operator placement, routing 1. Thus, both the processing and the delivery of multimedia content should be considered, since their interaction has a major impact on the network lifetime. Routing protocols for wireless sensor networks wsns. For wireless sensor networks with up to 256 nodes our model produces sink movement patterns and sojourn times leading to a network lifetime up to almost five times that obtained with a static sink. The objective of the proposed network structure is to minimize delays in the data collection processes of wireless sensor networks which extends the lifetime of the network. On maximum lifetime routing in wireless sensor networks conference paper in proceedings of the ieee conference on decision and control december 2009 with 11 reads how we measure reads. This work was extended in a sequel of papers 12, 5 to different types of wireless networks, and a. Abstract we consider the maximum lifetime routing problem in wireless sen sor networks in two settings.

Wireless sensor networks wsns, routing protocols, clustering in wireless sensor. Pdf fuzzy algorithms for maximum lifetime routing in. Data aggregated maximum lifetime routing for wireless. Fuzzy algorithms for maximum lifetime routing in wireless.

The importance of energy preservation in wireless sensor networks is long established, and a number of maximum lifetime routing schemes exist in the literature. Information obtained by the monitoring nodes needs to be routed to a. In this paper we present an initial study of maximum lifetime routing in sparse sensor networks. Dec 31, 2006 a critical issue in the design of routing protocols for wireless sensor networks is the efficient utilization of resources such as scarce bandwidth and limited energy supply.

Many routing schemes proposed in the literature try to minimize the energy consumed in routing or maximize the lifetime of the sensor network without taking into. Network lifetime of a wsn can be defined in different ways 9. Hybrid evolutionary approaches to maximum lifetime routing. Maximum lifetime routing in wireless sensor networks ieee. Therefore, network lifetime nl maximization techniques have attracted a lot of. Dynamic source routing can be reactive or on demand. Maximum lifetime routing to mobile sink in wireless sensor networks.

Distributed algorithms for maximum lifetime routing in. The maximum lifetime objective has been extensively studied for routing in multihop sensor networks. Maximum lifetime routing and data aggregation for wireless sensor networks cunqing hua and takshing peter yum department of information engineering the chinese university of hong kong, shatin, n. Besides, the major problems of wsns are energy consumption and lifetime. Abstract a sensor network of nodes with wireless transceiver capabilities and limited energy is considered.

Power conservation through energy efficient routing in. Maximum lifetime convergecast tree in wireless sensor. Abstractthis paper proposes a framework to maximize the lifetime of the wireless sensor networks wsn by using a mobile sink when the underlying applications tolerate delayed information delivery to the sink. One of the most used definitions of network lifetime is the time at which the first network node runs out of energy to send a packet, because to lose a node could mean that the network could lose some functionalities. A recursive smoothing method is adopted to overcome the nondi. Mobility in wireless sensor networks northeastern university. Ray liu electrical and computer engineering department, university of maryland, college park. This paper proposes a centralized tree structure based routing protocol. Moreover, a routing protocol should be scalable, so that its effectiveness does not degrade as the network size increases. On maximum lifetime routing in wireless sensor networks. In this algorithm an active route also called the primary route is monitored to control its residual energy. First, we show through analysis that the minimum power con. Data aggregated maximum lifetime routing for wireless sensor.

A study of maximum lifetime routing in sparse sensor. Maximumlifetime multichannel routing in wireless sensor. Maximum lifetime routing and data aggregation for wireless. The power awareness issue is the primary concern within the domain of wireless sensor networks wsns. Maximum connectivity and maximum lifetime energyaware routing for wireless sensor networks charles pandana and k. Note that cu,v is the number of unitlength messages that may be transmitted along u,v before node u runs out of energy. Information obtained by the monitoring nodes needs to be routed to a set of designated gateway nodes. Pdf an online heuristic for maximum lifetime routing in. We address the problem of jointly optimizing data aggregation and routing so that the network lifetime can be maximized. Lifetime and energy consumed as a function of n, r t.

Maximum lifetime convergecast tree in wireless sensor networks. We demonstrate experimentally that our approach consistently and effectively. Abstractwe address the maximum lifetime routing problem in wireless sensor networks wsns and propose two online routing algorithms based on fuzzy logic, namely fuzzy maximum lifetime algorithm and fuzzy multiobjective algorithm. A routing problem in static wireless ad hoc networks is considered as it arises in a rapidly deployed, sensor based, monitoring system known as the wireless. Centralized routing for prolonged network lifetime in. An optimal routing and data aggregation scheme for wireless sensor networks is proposed in this paper. Data aggregated maximum lifetime routing for wireless sensor networks we address the problem of jointly optimizing data aggregation and routing so that the network lifetime can be maximized. To this end, we propose novel algorithms to solve the maximum lifetime data gathering problem in distributed sensor networks when a sensors are allowed to perform in network aggregation of data packets, and b no sensor is allowed to aggregate its data packets with those of another sensor. Abstract a routing problem in static wireless ad hoc networks is considered as it arises in a rapidly deployed, sensor based, monitoring system known as the wireless sensor network. Life time limitation in wireless sensor networks is a big problem. A survey of network lifetime maximization techniques in wireless. Dynamic source routing dsr is a routing protocol used in wireless sensor networks developed at cmu in 1996.

Maximum lifetime routing in wireless sensor networks ieeeacm. Robust maximum lifetime routing and energy allocation in wireless sensor networks. A major issue in wireless sensor networks is to prolong network lifetime by efcient energy management. Our results in this paper advance the stateoftheart algorithmic design to networkwide node lifetime problems. Wasteful energy conserving maximum lifetime routing for wireless sensor network md. In this paper we solve the maximum lifetime routing mlr problem for a sensor. It is based on a greedy heuristic to maximize wireless sensor network lifetime. In order to extend the lifetime of a wireless sensor network, the energy consumption of individual sensor nodes need to be minimized.

Jan 20, 20 in order to extend the lifetime of a wireless sensor network, the energy consumption of individual sensor nodes need to be minimized. Clusterbased hierarchical routing protocols play an essential role in decreasing the energy consumption of wireless sensor networks wsns. Mahbub alam2 and choong seon hong3 1,2,3 department of computer engineering, kyung hee university. In our model, the online model, each message has to be routed without. Robust maximum lifetime routing and energy allocation in. In wireless sensor networks, most of the energy is consumed in transmission. We show that the problem of routing messages in a wireless sensor network so as to maximize network lifetime is nphard. Abstractin this paper, we consider the energyaware routing algorithm that explicitly takes into account the connectivity of. Pdf we show that the problem of routing messages in a wireless sensor network so as to maximize network lifetime is nphard. Maximum network lifetime with optimal powerrate and routing. The efficiency of the wireless sensor network largely depends on the routing protocol used.

The former attempts to maximize the wsn lifetime objective, whereas the latter strives to simultaneously. Long lifetime routing in unreliable wireless sensor networks. Abstracta routing problem in static wireless ad hoc networks is considered as it arises in a rapidly deployed, sensor based, mon itoring system known as the. Maximizing the lifetime of wireless sensor networks with. Maximum lifetime scheduling in wireless sensor networks.

In this paper the problem of maximum lifetime routing is investigated in asynchronous dutycycled wireless sensor networks. Online maximum lifetime heuristics oml and capacity maximization cmax are a wellknown routing heuristic for maximizing lifetime of wsn. In mrpc, routing is done along a path p with maximum lifetime. Energyaware routing to maximize lifetime in wireless sensor networks with mobile sink in this paper we address the problem of maximizing the lifetime in a wireless sensor network with energy and power constrained sensor nodes and mobile data collection point sink. Maximum lifetime routing problem in dutycycling sensor. This article makes the following key contributions. The nodes will have different relay loads for different routing strategies. Maximum lifetime continuous query processing in wireless. We now summarize some of the related works on lifetime maximization in wsns. An energy and activity aware routing protocol for wireless sensor networks 3 problem into a utilitybased nonlinear optimization problem and proposes a distributed routing algorithm to solve the problem. Wireless sensor networks wsns have attracted a lot of recent research interest due to their applicability in security, monitoring, disaster relief and environmental applications.

In this paper, we focus on designing an energyefficient and energyaware routing algorithm, llr, to increase. Maximum lifetime routing in wireless sensor networks ieee xplore. Energy limitation of sensor nodes is the basic factor for lifetime limitation. Improved network lifetime and secured routing against blackhole attack in wireless sensor networks using srr. Online routing algorithms for maximum lifetime in wireless. Sensor networks based on regularization vahid shahmansouri and vincent w. Maximum network lifetime with optimal powerrate and. The objective is to maximize the network lifetime by jointly optimizing data aggregation and routing. Abstractlifetime maximization is an important optimiza tion problem specific to wireless sensor networks wsns since they operate with limited energy. We have studied simulations of how different heuristic routing algorithms inuence the energy consumption of individual sensor nodes, and thus the. A utilitybased distributed maximum lifetime routing. A fair and lifetimemaximum routing algorithm for wireless.

We address the problem of jointly optimizing data aggregation and routing so that the. Online maximum lifetime heuristics oml and capacity maximization cmax are a well known routing heuristic for maximizing lifetime of wsn. Wasteful energy conserving maximum lifetime routing for. We address the maximum lifetime routing problem in wireless sensor networks wsns and propose two online routing algorithms based on fuzzy logic, namely fuzzy maximum lifetime algorithm and fuzzy multiobjective algorithm. Wsns play a major role in data communications in applications such as home, health care, environmental monitoring, smart grids, and transportation.

A sensor network of nodes with wireless transceiver capabilities and limited energy is considered. Improved network lifetime and secured routing against. In wireless video sensor networks, the video coding and multimedia content delivery are the most energy consuming tasks, and hence impact the overall network lifetime. A fair and lifetimemaximum routing algorithm for wireless sensor networks do van giang. Most power dissipation ocurrs during communication, thus routing protocols in wsns mainly aim at power conservation. Maximum lifetime routing problem in asynchronous duty. A modified leach routing protocol in terms of lifetime. Wireless sensor networks wsns are a typical example of this kind of networks 2,3.

The seminal work in 6 considered a static maximum lifetime routing problem and formulated it as a linear program. Energyaware routing to maximize lifetime in wireless. The furthest node can have a maximum distance of communication radius. Maximum lifetime data gathering and aggregation in wireless sensor networks konstantinos kalpakis1. But this work also assumes that the data generation rate at each node is xed and known in advance. To model this problem, a new energy balance based asynchronous mac protocol is proposed called kpersistent frtsrcts, which stands for kpersistent flooding of rts and random sending of cts. Wsns consist of a number of lowcost sensors scattered in a geographical area of interest and connected by a wireless.

It is the amount of time that a wireless sensor network would be fully operative. We propose distributed algorithms to compute an optimal routing scheme that maximizes the time at which the first node in the network drains out of energy. For twotiered wireless sensor networks, whenever an afn runs out of energy, the video sensing capability for that cluster is completely lost. Hybrid evolutionary approaches to maximum lifetime routing and energy ef. Maximum data generation rate routing protocol based on. Proposed work in order to save the total energy cost of the sensor networks and prolong its lifetime, we propose a distancebased clustering protocol.

858 933 1015 810 265 921 1477 58 132 315 965 282 75 1138 1551 128 1305 569 592 771 756 566 425 537 446 1105 956 1031 728 828 579 23 1450 608 1054 430 561 1344 439 453 835 298 9 1049 1474 225 1357