Wireless sensor networks have grown from homogeneous network architecture to heterogeneous networks for the improvement of network efficiency and lifetime. This paper exhibits a mobile cluster-head data collection (MCHDC) model for heterogeneous wireless networks. The MCHDC model illustrates the mobility pattern of mobile cluster-head nodes in a controlled environment with uniform and nonuniform deployment of mobile elements in the area of observation.It focuses on the threshold velocity for movement of mobile elements in the network area. In this paper the effects of data sending rate, network area, sensor node density, and cluster-head node density on energy efficiency of the network with the MCHDC model have been studied through simulations.
Abstract. Wireless Sensor Network has always captivated researchers to broaden up the field by critically evaluating and realizing its capabilities in various application areas. Conceiving an idea of implementing wireless sensor network has shown many challenges i.e. node deployment, data clustering, data aggregation, energy efficiency, lifetime improvement, etc. This paper deals with an important aspect i.e. clustering. In this paper a new clustering approach has been proposed that combines the functionality of two popular approaches i.e. Voronoi diagrams and Ant Systems. The simulations are performed in QualNet version 6.1 with IEEE 802.15.4 at the MAC and Physical layers. The proposed algorithm shows promising results as compare to that of AODV and OSPFv2 in terms of energy efficiency and overall performance.
To deal with real life scenarios for wireless sensor networks with uneven contours, connectivity issues, and dropping packets, heterogeneous sensors became the vital factor to enhance its capability in terms of energy efficiency and end-to-end packet delay. In recent times, end-to-end packet delay has a significant role in wireless sensor networks along with energy efficiency and network lifetime. In the present situation, the information delayed is information lost, and hence, end-to-end packet delay is playing an important role in wireless sensor networks. To address the issue of end-toend packet delay in wireless sensor network, a mobile clusterhead data collection model for heterogeneous wireless sensor networks has been evaluated. In this paper, the mobile clusterhead data collection model has been evaluated for two different scenarios. This paper also illustrates the velocity of the cluster-head node with which it should move to reduce the end-to-end packet delay. The mobile cluster-head data collection mobility model has been evaluated for end-to-end packet delay on the basis of data send rate, network size, sensor node density, and cluster-head node density. For verification and validation, extensive simulations have been conducted which validates that the efficient mobility pattern of the mobile cluster-head nodes can lower end-to-end packet delay of wireless sensor networks. Keywords Mobile cluster-head . Mobile data collector . Average end-to-end packet delay . Data-delivery ratio . Energy consumed Abbreviations VAS Voronoi ant systems VCP Voronoi control packet MTWSW Modified two-way sliding window MCHDC Mobile cluster-head data collection WSN Wireless sensor network HP Head point MAC Media access control BSN Base station node (sink node)
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