An Efficient Data Aggregation Algorithm for Cluster-based Sensor Network

Data aggregation in wireless sensor networks eliminates redundancy to improve bandwidth utilization and energy-efficiency of sensor nodes. One node, called the cluster leader, collects data from surrounding nodes and then sends the summarized information to upstream nodes. In this paper, we propose an algorithm to select a cluster leader that will perform data aggregation in a partially connected sensor network. The algorithm reduces the traffic flow inside the network by adaptively selecting the shortest route for packet routing to the cluster leader. We also describe a simulation framework for functional analysis of WSN applications taking our proposed algorithm as an exampl

A comparison of software platforms for Wireless Sensor Networks: MANTIS, TinyOS and ZigBee

Wireless sensor networks are characterized by very tight code size and power constraints, and by a lack of well-established standard software development platforms such as Posix. In this paper, we present a comparative study between a few fairly different such platforms, namely MANTIS, TinyOS and ZigBee, when considering them from the application developer's perspective, i.e. by focusing mostly on functional aspects, rather than on performance or code size. In other words, we compare both the tasking model used by these platforms and the API libraries they offer. Sensor network applications are basically event based, so most of the software platforms are also built on considering event handling mechanism, however some use a more traditional thread based model. In this paper, we consider implementations of a simple generic application in MAN- TIS, TinyOS and the Ember ZigBee development framework, with the goal of depicting major differences between these platforms, and suggesting a programming style aimed at maximizing portability between them

Broiler farming: An approach to improve rural livelihood

The present study assessed the changes in socio-economic conditions of small scale broiler farmers in rural areas of Bangladesh. The population comprised the small scale broiler farmers who reared at least 300 to less than 2000 birds in the rural areas of Sadar Upazila of Mymensingh district, among which a total of 50 samples were randomly selected for the study. The necessary data on different socio-economic parameters were collected from the respondents through personal interview with the pre-tested interview schedule. Findings showed that annual employment opportunities for unemployed family members of broiler farmers were 302.96 man-days. The overall income and expenditure of the farmers were increased by TK.6100 and TK.3064.66 after involving in broiler farming. Cash in hand and savings with bank raised by 142.71% and 201.63% respectively. Drinking water from own tube-well increased by 135.71% and katcha latrines decreased by 76.47%. Consumption of meat, egg, and fruits per month per household were increased by 94.32%, 34.53% and 56.14% respectively in post farming situation. The number of school going children, household assets and health status also improved. So, small scale broiler farming has positive and significant impact for the development of socio-economic status of the farmers as well as the improvement of rural livelihood

An algorithm for selecting the cluster leader in a partially connected sensor network

Data aggregation is a basic mechanism that is used to reduce the traffic flow in the sensor network. In this mechanism, one node collects data from surrounding nodes and then sends the summarized information to the upstream nodes. In this paper, we propose an algorithm which is capable to select cluster leader that will perform data aggregation in a partially connected sensor network. While selecting the cluster leader, it forms a mesh network between the nodes. The proposed algorithm also reduces the traffic flow inside the formed mesh network by selecting shortest route for packet routing to the cluster leade

Porting application between wireless sensor network software platforms: TinyOS, MANTIS and ZigBee

Application domains of wireless sensor networks are emerging day-by-day, so developers are creating software at various layers by using platforms such as MANTIS, TinyOS or ZigBee. Since these platforms are quite different in terms of programming paradigm and provided APIs, porting applications between them is difficult and expensive. In this paper, we show techniques that might be used to dramatically ease the porting application code between different software platforms for WSN