IRJET-Application of Intelligent Sensor System for Wireless Networks

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APPLICATION OF INTELLIGENT SENSOR SYSTEM FOR WIRELESS NETWORKS. 1 Ankita

Sahu, 2 Deepak Singh Tomar, 3Tarun Dhar Diwan

Mtech Scholar, CSE Department, Technocrats Institute Of Technology, Bhopal, Madhya Pradesh, India Professor, CSE Department, Technocrats Institute of Technology, Bhopal Madhya Pradesh, India 3 Assistant Professor IT&CA Department, Government E.R.R.P.G Science College Bilaspur, Chhattisgarh, India ---------------------------------------------------------------------***------------------------------------------------------------------1. INTRODUCTION Abstract- Wireless detector Networks (WSNs), A wireless sensing element network (WSN) may be a with growing applications within the terribly giant assortment of sensing element nodes that surroundings self-addressed enormously within organized into completely different kind like tree, mesh the recent past. several routing algorithms etc. This sensing element nodes area unit work on the planned to optimized operating of network, facility supply i.e. battery that is important for its primarily focusing energy potency, network communication. to avoid wasting the facility of the period, agglomeration processes. Considering network we tend to used the programing technique with homogeneity of network, we have a tendency to WSN to extend the lifetime of the network. In sleep planned Energy economical Sleep Awake Aware programing most of the nodes area unit place into sleep (EESAA) intelligent routing protocol for WSNs. mode to extend the period of the network. Sleep programing is extremely necessary to become a network a native observance has been shown to be a strong lot of economical and versatile. Main aim of sleep technique for up security in multi-hop wireless programing algorithmic rule is to measure the network for detector networks (WSNs). However, native long amount of your time. the various technique is observance because it is presently practiced is employed with the sleep programing like routing and tree expensive in terms of energy consumption. Sleepbased mostly algorithmic rule that is admittedly improve wake protocols square measure vital in detector the performance of the network[1]. during this project we networks to confirm durable operation. However, tend to area unit study the various sorts of sleep associate open downside is a way to develop programing techniques like Energy-efficient programing, economical mechanisms that may be incorporated Energy economical TDMA Sleep programing, Balancedwith sleep-wake protocols to confirm each long energy Sleep programing, optimum Sleep programing, and Dynamic Sleep programing and strategies utilized in it that lived operation and a high degree of security. to work with the wireless sensing element network for beat this downside by exploitation native saving the energy of the sensing element nodes and observance, every node oversees a part of the prolong the lifetime of the network. every technique of traffic moving into and out of its neighbors to see sleep programing is employed for up the potency of the if the behavior is suspicious, such as, remarkably network and each technique having some limitation long delay in forwarding a packet. Here, a protocol whereas prolong the lifetime of the network. is employed to form native observance ungenerous Advancement in technologies, devices many opportunities in its energy consumption and to integrate it with for economical usage of resources in necessary any surviving sleep-wake protocol within the atmospheres [2]. Wireless sensor Networks (WSNs) network. In EESAA unstable region starts terribly brought a revolutionary ever-changing this context.

Gathering and delivering of useful information to the later as compare to different protocols. Results destination became prepared with advent of this show that in EESAA nodes die at a continuing rate. technology. Applications like field of battle investigating, In our planned technique we have a tendency to sensible geographical point, traffic observation and etc., assess and enhance sure problems like network are well monitored through such schemes. WSN consists stability, network period and cluster head choice of multiple unattended ultra-small, limited-power sensor method. In EESAA nodes conjointly switches nodes deployed randomly at intervals the house of between sleep and active modes so as to reduce interest like inaccessible areas or disaster places for energy consumption. gathering of useful information. Miniature sensor nodes 1

2Assistant

Key words: Wireless Sensor Network, Intelligent System Protocol for WSN. Š 2016, IRJET

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capable of sensing, method useful information from, and transmission to destination has opened many analysis issues [3]. These battery powered sensor nodes area unit mounted with restricted method and storage facilities. As

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WSNs area unit exposed to dynamic environments, due to such configuration property loss of nodes would possibly degrade the performance of network. kind of protocols that got to be energy economical and thence, enhancing the network life time is extremely necessary for higher performance. Bunch algorithms like LEACH and DEEC for sensor networks have achieved low-cost goals regarding higher performance of networks. Following their thoughts we tend to tend to planned a replacement pairing plan supported applications and mere distances between the sensors which might yield necessary enhancements at intervals the efficiency of network [4].

2. RELATED WORK 2.1 A Key consider the economical Intelligent System Protocol.

Category Representative Protocols : (1)Location-based Protocols MECN, SMECN, GAF, GEAR, Span, TBF, BVGF, GeRaF (2)Data-centric Protocols : SPIN, Directed Diffusion, Rumor Routing, COUGAR, ACQUIRE, EAD, InformationDirected Routing, Gradient Based Routing, Energy-aware Routing, Information-Directed Routing, Quorum-Based info Dissemination, Home Agent primarily based info Dissemination (3)Hierarchical Protocols : LEACH, PEGASIS, HEED, TEEN, APTEEN (4)Mobility-based Protocols : SEAD, TTDD, Joint quality and Routing, knowledge MULES, Dynamic Proxy TreeBase knowledge Dissemination (5)Multipath-based Protocols : Sensor-Disjoint Multipath, adorned Multipath, N-to-1 Multipath Discovery (6)Heterogeneity-based Protocols : IDSQ, CADR, CHR (7)QoS-based Protocols : SAR, SPEED, Energy-aware routing .

•Dense self-deployment: WSN could be a large distributed procedure system. sizable amount of sensors square measure scattered and densely arbitrarily deployed within the network surroundings. Sensors square measure designed autonomously as every sensing element severally manages its self-communication within the network.

• restricted process and storage: sensing element nodes square measure tiny battery powered autonomous physical devices that extremely restricted in, procedure capabilities and storage capability.

• restricted energy resources: thanks to the robust nature of WSN applications surroundings and also the undeniable fact that sensing element nodes square measure battery powered devices, it's typically onerous to alter or recharge theses batteries [5].

• sensing element heterogeneity: Since sensing element nodes existence isn't bonded within the WSN life time, unreliable and inconsistent sensing element nodes can prone thanks to physical damages or failures whereas harsh readying. © 2016, IRJET

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• knowledge redundancy: knowledge may be sent otherwise by over one node to central node thanks to the requirement of collaboration and communication of sensing element nodes moreover because the physical nature of the sensing element nodes.

• Application centric: because it is often onerous to alter or modify within the wireless sensing element network, the network is typically designed and deployed for a particular application. This chiefly affects the look needs, network size, energy consumption and routing constrains of network [6].

• Broadcast communication: Sensors in WSN typically rely on exchanging perceived knowledge between multiple sensing element nodes and explicit sink node mistreatment totally different flooding routing techniques [7].

• Topological inconstancy: thanks to power deficiency in sensing element nodes moreover because the harsh surroundings, constellation can typically suffer frequent changes appreciate association failures, node death, adding new node, energy consumption or channel attenuation [8].

• restricted transmission vary: The restricted physical characteristic of sensing element nodes square measure typically restricted strictly the network capabilities and have an effect on the coverage range and communication quality.

2.2 QUALITY OF SERVICE The area of WSN application restrains the provided quality of service in WSN. For real time applications, detected information ought to be delivered as presently because it is detected. The frequent changes within the detected information area unit extremely settled with the time issue. reliableness and usefulness sometimes rely on QoS [9].

2.2.1 Simplicity: The heterogeneous and autonomous nature of sensors in WSN similarly because the complicated topological nature needs easy and convenient communication, process and power consumption models so as to ease and increase the economical utilization of the network.

2.2.2 Mobility: The quality nature in WSN when readying sometimes results because of the automotive capabilities of device nodes. every device has the flexibleness to alter its location supported some environmental factors that powerfully have an effect on nodes movements area unit varies supported the applying space. quality could apply to any or all nodes at intervals a network or solely to subsets of nodes. so supported the quality taxonomy, sensors in WSN expand to completely different standing. they will act ISO 9001:2008 Certified Journal

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as a vigorous or passive nodes, this can be self-addressed by every sensor`s automotive capabilities, that the device could rely in motion device or move by itself [10]. The motion similarly could also be occasional movement with time intervals of immobility in between, to constant as in static nodes. though the high degree of quality in WSN, some sensors could stay static. The extent of dynamic in WSN similarly because the speed of quality often influences the dimensions, style and protocols of the network.

2.2.3 Fault tolerance: the power to preserve the network performance and practicality even when individual node failure or congestion in a number of elements of the network [11]. The ability of WSN may be achieved by exploitation economical routing protocols, power management approaches and communication institutions.

3. OBJECTIVE Research in WSNs aims to fulfill the higher than constraints by during this study, we tend to gift a topdown approach to survey totally different protocols and algorithms projected in recent years. Our work differs from different surveys as follows: we tend to survey the present provisioning, management and management problems in WSNs. These embody problems appreciate localization, coverage, synchronization, network security and knowledge aggregation and compression. whereas our survey is analogous to our focus has been to survey the newer literature. we tend to address the problems in an exceedingly WSN each at the individual sensing element node level also as a bunch level. A compare and distinction the assorted sorts of wireless sensing element networks. Study of various current wireless sensing element technologies.

4. PROPOSED APPROACH The Energy economical Sleep Awake Aware Routing Protocol is gift. Simulation is bestowed victimization Matlab for analyzing the performance of protocol.

Displayed equations ought to be numbered consecutively, with the quantity set flush right and fencelike in parentheses [12]. The equation numbers ought to be consecutive at intervals the contribution. The analysis of the Energy economical Sleep Awake Aware Routing Protocol is shown below: Table 1- Different Design Parameters.

Design Parameters Chosen Values Network size

100m * 100m

Initial Energy

.5 J

Data Aggregation Energy Cost

50pj/bit j

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Number of nodes

100

Packet size

4000 bit

Transmitter Electronics (EelectTx)

50 nJ/bit

Receiver Electronics (EelecRx)

50 nJ/bit

Transmit amplifier (Eamp)

100 pJ/bit/m2

5. An Intelligent Routing Protocol Algorithm: We live the performance of our projected protocol is activity comparative simulations. we've an inclination to get a tool field of 100mĂ— 100m size. throughout this field we've an inclination to willy-nilly drop no (100) device nodes with at the beginning energy[13].

In the active state, a node may sight targets within its sensing radius r, and communicate with totally different nodes within its communication radius R. assume that every node is tuned in to its own location and is prepared to examine a target position at detection[14]. to boot, assume that the detector nodes area unit domestically time synchronized using a protocol. In fact, as long as a result of the gap between to specialize in is kind of twofold of the communication radius of nodes, the sleep programming actions triggered by them will not overlap [15].

Target prediction: The planned target prediction theme consists of three steps: current state calculation, kinematics- primarily primarily based} prediction and chance based prediction [16]. once scheming this state, the mechanics primarily based prediction step calculates the expected displacement from this location within consecutive sleep delay, and so the chance models for scalar displacement and so the derivation.

Table.1.1 Advance Network Coupling Model ALGORITHM : NODE MODE SETUP PHASE 1: END OF ROUND 2: IF [ NODE == COUPLED ] THEN 3: IF [NODE_ MODE == ACTIVE && CCH_FLAG==1] THEN 4: NODE_MODE=ACTIVE 5:

ELSE

IF

[NODE_MODE==ACTIVE

CCH_FLAG==O]THEN 6: NODE_MODE=SLEEP 7:ELSE

IF

[NODE_MODE==SLEEP

NEIGHBOR_CCH_FLAG==1 THEN 8:NODE_=SLEEP 9:ELSE |

&&

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12: ELSE IF[NODE==COUPLED &&NODE_ NEIGHBOR

should be used expeditiously so as to maximize the network life. Performance studies offer valuable data for developing tools and solutions to enhance system performance. crucial factors that influence system performance embrace measurability, communication, protocols at completely different layers, failures, and network management.

==DEAD] THEN

8. APPLICATIONS OF WIRELESS SENSOR NETWORK

IF[NODE_MODE==SLEEP&&NEIGHBOR_CCH_FLAG==O] THEN 10:NODE_MODE=ACTIVE 11:END IF

13:NODE_MODE=ACTIVE 14: ELSE 15:NODE_MODE=ACTIVE 16: ELSE IF Awakened node reduction: the amount of aroused from sleep nodes is reduced with a pair of efforts: dominant the scope of aroused from sleep regions, Associate for a group of nodes in associate aroused from sleep region [17].

Active time management: supported the probabilistic models that area unit established with target prediction, schedules Associate in Nursing aroused from sleep node to maneuver, so as that the probability that it detects to specialize in is close to one [18].

6. RESULT This analysis thinks about with economical Intelligent detector Network Routing Protocol. Here, we tend to judge the performance of algorithms on the premise of Intelligent detector Network for WSNs. we tend to enhance the on top of mentioned parameters. data from detector nodes is forwarded to cluster heads and these CHs area unit accountable to transmit this data to base station that is placed far-flung from the sector [19]. This observation depicts that in Energy economical Sleep Awake Aware energy dissipation is correctly distributed among all the nodes within the network that in result will increase network life. Energy economical Sleep Awake Aware energy economical CHs choice algorithmic program helps it in higher and constant rate transmission to Bachelor of Science. though Energy economical Sleep Awake Aware energy has sleep-awake policy for nodes and fewer range of information is transmitted to Bachelor of Science [20]. alternative main reason of upper rate action is longer network life time of Energy economical Sleep Awake Aware energy. Main focus was to boost cluster-head choice method. CHs beer designated on the premise of remaining energy. In Energy economical Sleep Awake Aware energy nodes additionally switches between sleep and active modes so as to reduce energy consumption. In our planned strategy, stability amount of network and life time has been optimized.

7. CONCLUSION Sensor network life depends on the quantity of active nodes and property of the network, therefore energy © 2016, IRJET

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                      

Disaster relief operations Drop device nodes from associate craft over a inferno Each node measures temperature Derive a “temperature map” Biodiversity mapping Use device nodes to watch life Intelligent buildings (or bridges) scale back energy wastage by correct humidness, ventilation, air con (HVAC) management wants measurements concerning space occupancy, temperature, air flow, Monitor mechanical stress once earthquakes Machine police work and preventive maintenance Embed sensing/control functions into places no cable has gone before tire pressure observation Precision agriculture Bring out fertilizer/pesticides/irrigation only if and wherever required Medicine and health care Post-operative or medical aid Long-term police work of inveterately sick patients or the older High rate sampling Spatial separation between nodes Data transfer performance: reliable transfer needed Time synchronization: information has got to be timealigned for analysis by seismologists Bridge observation Structural health observation could be a sensor-based preventative approach

9. Future Work proactive routing protocol and reactive routing protocols which debate key options of every of those routing protocols in wireless device Network and performance analysis on the premise of qualitative comparison of each routing protocols.

REFERENCES [1.] Neha Sahu, Surendra Dubey, Tarun Dhar Diwan, “Energy Efficient Communication Routing Protocols in Wireless Sensor Network Services, International Research Journal of Engineering and Technology, Dec2015, e-ISSN: 2395-0056,Volume: 02 Issue: 09..

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[2.] Gursel Serpen*, Jiakai Li, and Linqian Liu, “AI-WSN: Adaptive and Intelligent Wireless Sensor Network ” Procedia Computer Science 20 ( 2013 ) 406 – 413, Complex Adaptive Systems, Publication 3 Cihan H. Dagli, Editor in Chief Conference Organized by Missouri University of Science and Technology 2013Baltimore, MD. [3.] Alcides Montoya, Diana Carolina Restrepo, and Demetrio Arturo Ovalle, “Artificial Intelligence for WirelessSensor Networks Enhancement ”.

[4.] Jin-Zhao Lin, Xian Zhou, Yun Li,“A Minimum-energy Path-preserving Topology Control Algorithm for Wireless Sensor Networks” International Journal of Automation and Computing 6(3), August 2009, 295300 DOI:10.1007/s11633-009-0295-0.

[5.] Luis Fernández, José M. Blasco,José F. Hernández, Eduardo Montón “Wireless Sensor Networks in Ambient Intelligence ” Technologies for Health and Well-being Instituto ITACA Universidad Politécnica de Valencia.

[6.] Adamu Murtala Zungeru, Li-Minn Ang and Kah Phooi Seng. “Performance Evaluation of Ant Performance Evaluation of Ant-Based Routing Protocols for Based Routing Protocols for Wireless Sensor Networks Wireless Sensor Networks”.

[7.] Kamal Jeet, Arun Kumar. “Intelligent Cluster Routing Protocol for Wireless Sensor Network based on G.A” IJIRST –International Journal for Innovative Research in Science & Technology| Volume 1 | Issue 7 | December 2014 ISSN (online): 2349-6010.

[8.] Mrs.Neelam Tamboli and Mr. Rohit Miri, “Intelligent System Protocol For Wirelesssensor Networks” Globaljournal OfEngineeringScience AndResearches, [Tamboli, 3(4): April 2016] ISSN 2348 – 8034Impact Factor- 3.155.

[9.] Priyanka, Yogesh Juneja, “The Evaluation of Performance of Wireless Sensors Networks” International Journal of Research in Advent Technology, Vol.2, No.6, June 2014 E-ISSN: 23219637.

[10.] Priyanka, Yogesh Juneja, “Wireless Sensor Network Optimization using Different Design Parameters and Routing Techniques” International Journal of Research in Advent Technology, Vol.2, No.6, June 2014 E-ISSN: 2321-9637 [11.] Jiann-Liang Chen, Yu-Ming Hsu and I-Cheng Chang, “Adaptive Routing Protocol for Reliable Sensor Network Applications” INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, VOL. 2, NO. 4, DECEMBER 2009.

[12.] G.J. Pottie and W.J. Kaiser, “Wireless Integrated Sensor Networks”COMMUNICATIONS OF THE ACM May 2000/Vol. 43, No. 5.

[13.] Michele Zorzi and Ramesh R. Rao, “Geographic Random Forwarding (GeRaF) for ad hoc and sensor networks: energy and latency performance ”, vol. 2, n. 4, Oct.-Dec. 2003. © 2016, IRJET

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[14.] Subhash Dhar Dwivedi, Praveen Kaushik, “Energy Efficient Routing Algorithm with sleep scheduling in Wireless Sensor Network ” Subhash Dhar Dwivedi et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (3) , 2012,4350 – 4353, ISSN:0975-9646.

[15.] S.Kavitha, S.Lalitha “SLEEP SCHEDULING FOR CRITICAL EVENT MONITORING IN WIRELESS SENSOR NETWORKS ” International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 1, ISSN (Print) : 2319-5940, ISSN (Online) : 2278-1021, January 2014.

[16.] Ajit R. Pagar, Prof. D. C. Mehetre “A Survey on Energy Efficient Sleep Scheduling in Wireless Sensor Network ” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 1, January 2015 ISSN: 2277 128X. [17.] Monica R Mundada, Savan Kiran, Shivanand Khobanna, Raja Nahusha, Varsha and Seira Ann George “A Study On Energy Efficient Routing Protocols In Wireless Sensor Networks ”, International Journal of Distributed and Parallel Systems (IJDPS) Vol.3, No.3, DOI : 10.5121/ijdps.2012.3326, May 2012.

[18.] Chandni, Kanika Sharma “Comparative analysis of routing protocols in Wireless sensor Network ” IRACST-International Journal of Computer Science and Information Technology & Security (IJCSITS), ISSN: 2249-9555 Vol. 3, No.1, February 2013.

[19.] Marwa Sharawi, Imane Aly Saroit, Hesham El-Mahdy, Eid Emary “Routing Wireless Sensor Networks Based On Soft Computing Paradigms: Survey” International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), Vol.2, No.4, August 2013 [20.] Shio Kumar Singh, M P Singh, and D K Singh,“Routing Protocols in Wireless Sensor, Networks – A Survey” International Journal of Computer Science & Engineering Survey (IJCSES) Vol.1, No.2, November 2010.

BIOGRAPHIES Ankita Sahu, M.Tech Scholar of Computer Science Engineering At The Technocrats Institute Of Technology, Bhopal India.

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