On Reducing Communication Energy Using Cross-Sensor Coding Technique
نویسندگان
چکیده
This paper addresses the uneven communication energy problem in data gathering sensor networks where the nodes closer to the sink tend to consume more energy than those of the farther nodes. Consequently, the lifetime of a network is significantly shortened. We propose a cross-sensor coding technique using On-Off keying which exploits (a) the tradeoff between delay and energy consumption and (b) the network topology in order to alleviate the problem of unequal energy consumption.We formulate our coding problem as an integer linear programming problem and show how to construct a number of codes based on different criteria. We show that the proposed technique can extend the lifetime of a small sensor network.
منابع مشابه
STCS-GAF: Spatio-Temporal Compressive Sensing in Wireless Sensor Networks- A GAF-Based Approach
Routing and data aggregation are two important techniques for reducing communication cost of wireless sensor networks (WSNs). To minimize communication cost, routing methods can be merged with data aggregation techniques. Compressive sensing (CS) is one of the effective techniques for aggregating network data, which can reduce the cost of communication by reducing the amount of routed data to t...
متن کاملEnergy-efficient Algorithms for Sensor Networks
This report presents two algorithms for sensor networks that save the energy used when sensors communicate. The first is Information Driven Sensor Querying (IDSQ). This technique uses a utility measure, such as the Mahalanobis distance or mutual information, to limit the number of sensors that need to communicate. The second technique is Distributed Source Coding Using Syndromes (DISCUS). This ...
متن کاملWireless sensor network design through genetic algorithm
In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network criteria and characteristics. Type of deployment, effect of network size, radio communication...
متن کاملA New Method for Clustering Wireless Sensor Networks to Improve the Energy Consumption
Clustering is an effective approach for managing nodes in Wireless Sensor Network (WSN). A new method of clustering mechanism with using Binary Gravitational Search Algorithm (BGSA) in WSN, is proposed in this paper to improve the energy consumption of the sensor nodes. Reducing the energy consumption of sensors in WSNs is the objective of this paper that is through selecting the sub optimum se...
متن کاملAn Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks
LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IJDSN
دوره 7 شماره
صفحات -
تاریخ انتشار 2011