One hop clustering scheme in MANET adopts the simple shortest path for packet transmission mechanism by trading off the cluster maintenance overhead. However, as the maintenance overhead increases the network scalability becomes vulnerable. Instead, a Two Hop clustering in Pseudolinear Mobile ad hoc network (THPM) is proposed for providing better scalability with minimum overhead. THPM also incorporates an important parameter, mobility since mobile devices on the move have a great impact on the network structure. Node mobility has been taken into account in terms of the average clusterhead lifetime of clustermembers. Here, the clusterheads are selected based on node stability, which has been calculated using dopler value. Simulation result shows that the clusters created by THPM retain more uniform cluster size, clusterhead lifetime and more nodes in each cluster up to 45∼50% than the existing technique.

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The scalability issue is essential to gain commercial success in MANET. However, there are some existing constraints such as low bandwidth, node mobility, energy consumption, and the broadcast nature of wireless communication that make the network complex to maintain. Furthermore, as the network size increases, communication costs may consume a large proportion of the bandwidth. Other parameters such as node mobility, node density, and traffic load can also impair network scalability. In this research paper, we proposed a new algorithm, K-hop clustering scheme for Pseudolinear MANET (KHPM) where cluster topology remains stable in terms of Khop and more dense network. The strategy used stability metric and Doppler Value (DV) between nodes, which exchanged packets obtained by Doppler shift. A node's smaller DV indicates lower mobility with higher stability. The proposed technique has been analysis hypothetically, which shows that the proposed algorithm is able to consider mobility as a key feature compared to existing SKCA method. In addition, the number of hops of a cluster is twice in KHPM compared to existing THPM technique. General TermsAd hoc wireless network, Clustering.

In contemporary world, people become dependent on electronic devices. Technologies help to clarification and structure life in many ways to meet the need of the children oriented requirements. The children suffering from disabilities (e.g. autism) have desperate needs for elucidation and structure their life. MumIES is research based system to facilitate, support and manage their living. This paper works on MumIES system to evaluate usability of the system in perspective of Bangladesh. The paper shows that on the basis of case study users need supporting tools to access the children's potentials and challenges and to give the full support to overcome disabilities. Usability evaluation has been considered one of the key challenges of MumIES system. The paper represents analysis, design of usability studies for the extraordinary users and environments. Keywords-Usability; children with special need; multimodel interfaceI.

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