Ultra swarm method for resource management in Internet of things deployed mesh networks Hariharan Ramalingam & Dr. V. Prasanna Venkatesan Department of Banking Technology, School of Management, Pondicherry University, Puducherry, India. PAPER ID: ICDIC-170 9th March 2016

Contents Introduction Mesh networks with IoT – Benefits & challenges Ultra swarm method Proposed model Implementation Conclusion PAPER ID: ICDIC-170 9th March 2016

Introduction Internet of things (IoT) Physical objects linked to sensors, actuators and controllers act as access point and generate data to internet. Internet of things has ability to sense and enable data from physical objects and its application covering wider domain application areas. Topology practices for IoT deployment P2P, Star, Mesh topologies are used for IoT deployment based on applications. Wireless protocols engaged are Zigbee, Wifi, MQTT, BLE PAPER ID: ICDIC-170 9th March 2016

Mesh networks with IoT – Benefits & Challenges Benefits over other protocols Self healing – ability to re-route packet to destination in case one node in route fails. End to End reach – extended range compared to other protocols. Scalable – add new nodes is feasible. Adaptable – accommodate wide variety of network based on applications. Challenges Lack of interoperability – cannot operate with different protocols. Protocol dependency – router node architecture can work with zigbee protocol only. Redundancy – high redundancy in data communicated which affects the speed of the network. PAPER ID: ICDIC-170 9th March 2016

Ultra swarm method Swarm intelligence (SI) Wireless cluster computing Ultra swarm = Swarm intelligence (SI) + Wireless cluster computing Swarm intelligence (SI) Nature inspired intelligence Enables group co-ordination objectives Wireless cluster computing Clusters means partitioning of meaningful subgroup of nodes. Involves cluster generation and migration. Has ability to improve compute effectiveness. Wireless cluster computing PAPER ID: ICDIC-170 9th March 2016

Proposed model Enumerating the nodes for Transmit & Receive functions Neighbor node sensing functions – inspired by SI Sub-grouping/re-grouping for cluster formation Disabling nodes from existing cluster Best route path based on resources and distance travelled by packets of data. Route table to be used for guidance of best path. Initiate transmission and observable parameters are Efficiency in Power consumption Traffic density Node availability Packet delay PAPER ID: ICDIC-170 9th March 2016

Implementation Idle state (State 0) Sense state (State 1) Very low power consumed, device is idle by default. Change over of this state is triggered by packet arrival. Sense state (State 1) Enabled by packet arrival Neighbor sense is activated based on SI Distance between nodes, power available info are updated. Change over of this state is triggered by readiness. Cluster state (State 2) Enabled by readiness of node of prev. state. Connectivity to router coordinator based on resources. Best route for packet decides the cluster/sub group formation. Cluster – Max/Min nodes per cluster decides the no. of clusters formed. Cluster – deformation of clusters is also decides based on above parameters. Tx/Rx state( State 3) Packet of data transmit and receive based on best path route on the available cluster. PAPER ID: ICDIC-170 9th March 2016

Conclusion Ultra swarm method engaged mesh network for IoT has improvement over traditional mesh network for the following parameters Power Traffic density Throughput QoS Availability of nodes The work is qualitative and future scope has opportunity for Quantitative. Intercept point of Nature inspired algorithm and Internet of things has huge potential for energy saving, green computing applications. PAPER ID: ICDIC-170 9th March 2016

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