How to minimize energy consumption of Sensors in WSN Dileep Kumar HMCL 30 th Jan, 2015.

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Presentation transcript:

How to minimize energy consumption of Sensors in WSN Dileep Kumar HMCL 30 th Jan, 2015

Wireless sensor networks consists of group of sensor nodes to perform distributed sensing task using wireless medium. Characteristics - low-cost, low-power, lightweight - densely deployed - prone to failures - prone to failures - two ways of deployment: randomly, pre-determined or engineered Objectives - Monitor activities - Gather and fuse information - Communicate with global data processing unit - Communicate with global data processing unit Sensor Networks

Power Consumption Sensing, Communication, Data processing

Reasons Of Energy Consumption Energy consumption in a sensor node can be due to either “useful” or “wasteful” sources. Useful energy consumption can be due to Transmitting/ receiving data, processing query requests, and forwarding queries/data to neighboring nodes. Wasteful energy consumption can be due to Idle listening to the media, retransmitting due to packet collisions, overhearing, and generating/handling control packets.

Energy Efficiency Need Sensors have very small battery source. Sensors need to be active for long time durations. For implantable sensors, it is not possible to replace battery at short intervals. Challenge Battery power not increasing at same rate as processing power. Small size (hence less energy) of the batteries in sensors. Solutions Solar Energy Better Battery Vibration Body Thermal Power

The Problem A sensors in the network is no longer useful when its battery dies In order prolong lifespan of the sensors, it is essential to allow only the minimum work needed to transmit data Energy efficiency of the Wireless sensor networks can be improved by Reducing long distance transmissions Inactivating radio components as much as possible The lifespan of the network is crucial because the ability to save as many victims as possible is very time sensitive.

WSN Approaches Cell-based approachCluster-based approach observer

How To Reduce Energy Consumption Clustering And Clusterheads The essential operation in sensor node clustering is to : – Select a set of cluster heads among the nodes in the network. – Cluster the rest of the nodes with these heads. Cluster heads are responsible for : – Coordination among the nodes within their clusters (intra-cluster coordination). – Communication with each other and/or with external observers on behalf of their clusters (inter-cluster communication). observer CH

How To Prolong Network Lifetime ? 1.Reducing the number of nodes contending for channel access, 2.Summarizing network state information and updates at the cluster heads through intra-cluster coordination, 3.Routing among cluster heads, which has a relatively small network diameter.

Related Work LEACH (Low-Energy Adaptive Clustering Hierarchy) is a clustering-based protocol that utilizes the randomized rotation of local cluster base stations to evenly distribute the energy load within the network of sensors –Communication between sensor nodes and the base station is expensive and no high energy nodes exist to achieve communication –By using clusters to transmit data to the BS, only few nodes need to transmit for larger distances to the BS while other nodes in each cluster use small transmit distances

LEACH Algorithm Overview –The nodes are grouped into local clusters with one node acting as the local base station (BS) or clusterhead (CH) –The CHs are rotated in random fashion among the various sensors –The transmission between CH and BS requires high energy transmission –It has been observed that nodes die in a random fashion –No communication exists between CHs –Each node has same probability to become a CH

Algorithm Details –The operation of LEACH is achieved by rounds –Each round begins with a set-up phase (clusters and CHs are selected) followed by steady-state phase (data transmission to BS occurs) 1.Set-up Phase: –Initially, each node need to decide to become a CH for the current round based on the suggested percentage of CHs for the network (set prior to this phase) and the number times the node has acted as a CH –The node (n) decides by choosing a random number between 0 and 1 –If this random number is less than T(n), the nodes become a CH for this round –The threshold is set as follows: 1 P P 1 – P * (r mod ) 0 Otherwise T(n) = If n C G P = desired percentage of CHs r = current round G = set of nodes that have not been CHs in the last 1/P rounds T(n) = Decision threshold

LEACH Limitations –The CHs far away from the base station will use higher power and die more quickly than the nearby ones –Fault-tolerance issues – when nodes fail or behave unexpectedly –LEACH assumes all the nodes begin with same energy – this assumption may not be realistic –How to decide the percentage of cluster heads for a network? The topology, density and number of nodes of a network could be different from other networks –No suggestions about when the re-election needs to be invoked

Proposed Method –Cluster Heads also interact with other clusters’ CHs –Heterogeneous sensor network –Clusters will be dynamically update –Assigning and selection of clusters and CHs will be based on individual sensors’ energy, processing and transmission range capabilities

Energy Terms » E start : initial energy of the sensor nodes. » E DA : energy dissipation per bit for data aggregation. » E TX : energy dissipation per bit to transmit to BS. 1 P P 1 – P * (r mod ) 0 Otherwise T(n) = If n C G E start (E DA + E TX ) ____ Cluster heads (CHs) selection based on sensor having highest energy. If n<T(n) then node will be come CH P = desired percentage of CHs r = current round G = set of nodes that have not been CHs in the last 1/P rounds T(n) = Decision threshold

DEACH